Overview

Dataset statistics

Number of variables49
Number of observations82
Missing cells1251
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.2 KiB
Average record size in memory426.6 B

Variable types

Categorical21
Text1
Numeric13
Unsupported12
DateTime2

Dataset

Description화성시 2015년 08월 기준 건축신고현황(건축구분, 대지위치, 지목, 대지면적, 건축면적, 연면적, 증축면적, 건폐율 등) 정보를 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15052045/fileData.do

Alerts

사용승인일 has constant value ""Constant
승강기합 is highly imbalanced (71.9%)Imbalance
용도지구 is highly imbalanced (66.2%)Imbalance
용도구역 is highly imbalanced (67.4%)Imbalance
자주식옥내주차장(대) is highly imbalanced (79.8%)Imbalance
세대수 is highly imbalanced (66.9%)Imbalance
호수 is highly imbalanced (90.5%)Imbalance
부속건축물수 is highly imbalanced (73.2%)Imbalance
증축연면적(㎡) has 63 (76.8%) missing valuesMissing
취소구분 has 82 (100.0%) missing valuesMissing
철거멸실구분 has 82 (100.0%) missing valuesMissing
신고취소일 has 82 (100.0%) missing valuesMissing
최종설계변경일 has 78 (95.1%) missing valuesMissing
실제착공일 has 82 (100.0%) missing valuesMissing
착공연기일 has 82 (100.0%) missing valuesMissing
착공연기사유 has 82 (100.0%) missing valuesMissing
임시사용승인기간 has 82 (100.0%) missing valuesMissing
사용승인일 has 81 (98.8%) missing valuesMissing
비상승강기합 has 82 (100.0%) missing valuesMissing
하수처리시설용량(㎥) has 14 (17.1%) missing valuesMissing
자주식옥외주차장(대) has 11 (13.4%) missing valuesMissing
기계식옥내주차장(대) has 82 (100.0%) missing valuesMissing
기계식옥외주차장(대) has 82 (100.0%) missing valuesMissing
인근자주식주차장(대) has 82 (100.0%) missing valuesMissing
인근기계식주차장(대) has 82 (100.0%) missing valuesMissing
총주차대수 has 7 (8.5%) missing valuesMissing
총주차장면적(㎡) has 7 (8.5%) missing valuesMissing
주건축물수 has 6 (7.3%) missing valuesMissing
취소구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
철거멸실구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
신고취소일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실제착공일 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
비상승강기합 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기계식옥내주차장(대) is an unsupported type, check if it needs cleaning or further analysisUnsupported
기계식옥외주차장(대) is an unsupported type, check if it needs cleaning or further analysisUnsupported
인근자주식주차장(대) 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
동수 has 6 (7.3%) zerosZeros

Reproduction

Analysis started2023-12-12 16:15:04.862439
Analysis finished2023-12-12 16:15:05.476716
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
신축
62 
증축
19 
개축
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
신축 62
75.6%
증축 19
 
23.2%
개축 1
 
1.2%

Length

2023-12-13T01:15:05.571626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:05.708006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 62
75.6%
증축 19
 
23.2%
개축 1
 
1.2%

대지위치
Text

Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T01:15:06.013848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.170732
Min length17

Characters and Unicode

Total characters1818
Distinct characters109
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

Unique80 ?
Unique (%)97.6%

Sample

1st row경기도 화성시 우정읍 조암리 493-46
2nd row경기도 화성시 우정읍 조암리 493-41
3rd row경기도 화성시 정남면 음양리 535-1
4th row경기도 화성시 정남면 문학리 501-48 외1필지
5th row경기도 화성시 마도면 고모리 410-5 외2필지
ValueCountFrequency (%)
경기도 82
18.7%
화성시 82
18.7%
외1필지 16
 
3.7%
향남읍 11
 
2.5%
정남면 11
 
2.5%
남양읍 10
 
2.3%
외2필지 8
 
1.8%
우정읍 7
 
1.6%
송산면 7
 
1.6%
장안면 6
 
1.4%
Other values (150) 198
45.2%
2023-12-13T01:15:06.492874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
19.6%
기 89
 
4.9%
화 87
 
4.8%
도 84
 
4.6%
경 82
 
4.5%
성 82
 
4.5%
시 82
 
4.5%
리 80
 
4.4%
1 68
 
3.7%
- 54
 
3.0%
Other values (99) 754
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1073
59.0%
Space Separator 356
 
19.6%
Decimal Number 335
 
18.4%
Dash Punctuation 54
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 89
 
8.3%
화 87
 
8.1%
도 84
 
7.8%
경 82
 
7.6%
성 82
 
7.6%
시 82
 
7.6%
리 80
 
7.5%
면 46
 
4.3%
남 36
 
3.4%
읍 33
 
3.1%
Other values (87) 372
34.7%
Decimal Number
ValueCountFrequency (%)
1 68
20.3%
2 48
14.3%
7 35
10.4%
5 35
10.4%
3 34
10.1%
4 32
9.6%
0 23
 
6.9%
6 20
 
6.0%
8 20
 
6.0%
9 20
 
6.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1073
59.0%
Common 745
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 89
 
8.3%
화 87
 
8.1%
도 84
 
7.8%
경 82
 
7.6%
성 82
 
7.6%
시 82
 
7.6%
리 80
 
7.5%
면 46
 
4.3%
남 36
 
3.4%
읍 33
 
3.1%
Other values (87) 372
34.7%
Common
ValueCountFrequency (%)
356
47.8%
1 68
 
9.1%
- 54
 
7.2%
2 48
 
6.4%
7 35
 
4.7%
5 35
 
4.7%
3 34
 
4.6%
4 32
 
4.3%
0 23
 
3.1%
6 20
 
2.7%
Other values (2) 40
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1073
59.0%
ASCII 745
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
47.8%
1 68
 
9.1%
- 54
 
7.2%
2 48
 
6.4%
7 35
 
4.7%
5 35
 
4.7%
3 34
 
4.6%
4 32
 
4.3%
0 23
 
3.1%
6 20
 
2.7%
Other values (2) 40
 
5.4%
Hangul
ValueCountFrequency (%)
기 89
 
8.3%
화 87
 
8.1%
도 84
 
7.8%
경 82
 
7.6%
성 82
 
7.6%
시 82
 
7.6%
리 80
 
7.5%
면 46
 
4.3%
남 36
 
3.4%
읍 33
 
3.1%
Other values (87) 372
34.7%

지목
Categorical

Distinct9
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
대
26 
답
15 
전
15 
임야
14 
공장용지
8 
Other values (4)
4 

Length

Max length4
Median length1
Mean length1.5121951
Min length1

Unique

Unique4 ?
Unique (%)4.9%

Sample

1st row임야
2nd row임야
3rd row대
4th row임야
5th row공장용지

Common Values

ValueCountFrequency (%)
대 26
31.7%
답 15
18.3%
전 15
18.3%
임야 14
17.1%
공장용지 8
 
9.8%
공원 1
 
1.2%
유지 1
 
1.2%
도로 1
 
1.2%
묘지 1
 
1.2%

Length

2023-12-13T01:15:06.653934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:06.813160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 26
31.7%
답 15
18.3%
전 15
18.3%
임야 14
17.1%
공장용지 8
 
9.8%
공원 1
 
1.2%
유지 1
 
1.2%
도로 1
 
1.2%
묘지 1
 
1.2%

대지면적(㎡)
Real number (ℝ)

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1382.4683
Minimum96
Maximum15177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:07.002647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile204.55
Q1435
median654
Q31129.5
95-th percentile4122.3
Maximum15177
Range15081
Interquartile range (IQR)694.5

Descriptive statistics

Standard deviation2561.9206
Coefficient of variation (CV)1.8531497
Kurtosis19.971035
Mean1382.4683
Median Absolute Deviation (MAD)284
Skewness4.3435182
Sum113362.4
Variance6563437.4
MonotonicityNot monotonic
2023-12-13T01:15:07.175523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500.0 2
 
2.4%
990.0 2
 
2.4%
670.0 2
 
2.4%
606.0 1
 
1.2%
602.0 1
 
1.2%
195.0 1
 
1.2%
842.0 1
 
1.2%
756.0 1
 
1.2%
1945.0 1
 
1.2%
536.0 1
 
1.2%
Other values (69) 69
84.1%
ValueCountFrequency (%)
96.0 1
1.2%
118.0 1
1.2%
134.0 1
1.2%
195.0 1
1.2%
203.0 1
1.2%
234.0 1
1.2%
244.0 1
1.2%
265.0 1
1.2%
285.0 1
1.2%
290.0 1
1.2%
ValueCountFrequency (%)
15177.0 1
1.2%
14943.0 1
1.2%
8751.0 1
1.2%
7813.0 1
1.2%
4180.0 1
1.2%
3026.0 1
1.2%
2882.0 1
1.2%
2237.0 1
1.2%
1998.0 1
1.2%
1984.0 1
1.2%

건축면적(㎡)
Real number (ℝ)

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279.8439
Minimum18
Maximum2932.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:07.343585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile46.3885
Q187.02
median127.27
Q3216.9925
95-th percentile914.91
Maximum2932.21
Range2914.21
Interquartile range (IQR)129.9725

Descriptive statistics

Standard deviation517.88792
Coefficient of variation (CV)1.8506314
Kurtosis16.964468
Mean279.8439
Median Absolute Deviation (MAD)57.175
Skewness4.0899589
Sum22947.2
Variance268207.9
MonotonicityNot monotonic
2023-12-13T01:15:07.613621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390.0 2
 
2.4%
198.0 2
 
2.4%
72.0 2
 
2.4%
99.12 1
 
1.2%
97.98 1
 
1.2%
260.0 1
 
1.2%
201.69 1
 
1.2%
93.14 1
 
1.2%
128.0 1
 
1.2%
240.65 1
 
1.2%
Other values (69) 69
84.1%
ValueCountFrequency (%)
18.0 1
1.2%
18.88 1
1.2%
25.5 1
1.2%
31.86 1
1.2%
46.2 1
1.2%
49.97 1
1.2%
50.6 1
1.2%
53.0 1
1.2%
58.67 1
1.2%
60.0 1
1.2%
ValueCountFrequency (%)
2932.21 1
1.2%
2703.79 1
1.2%
2450.34 1
1.2%
1490.9 1
1.2%
927.3 1
1.2%
679.5 1
1.2%
499.99 1
1.2%
496.0 1
1.2%
396.0 1
1.2%
395.0 1
1.2%

연면적(㎡)
Real number (ℝ)

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.23695
Minimum18
Maximum6787.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:07.786053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile42.3985
Q189.0175
median152.44
Q3282.7
95-th percentile914.91
Maximum6787.13
Range6769.13
Interquartile range (IQR)193.6825

Descriptive statistics

Standard deviation845.30317
Coefficient of variation (CV)2.4204288
Kurtosis43.260526
Mean349.23695
Median Absolute Deviation (MAD)69.775
Skewness6.1560535
Sum28637.43
Variance714537.44
MonotonicityNot monotonic
2023-12-13T01:15:07.958190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.33 2
 
2.4%
198.0 2
 
2.4%
72.0 2
 
2.4%
97.98 1
 
1.2%
276.85 1
 
1.2%
323.7 1
 
1.2%
199.82 1
 
1.2%
86.94 1
 
1.2%
128.0 1
 
1.2%
284.65 1
 
1.2%
Other values (69) 69
84.1%
ValueCountFrequency (%)
18.0 1
1.2%
18.88 1
1.2%
31.86 1
1.2%
41.39 1
1.2%
42.0 1
1.2%
49.97 1
1.2%
50.6 1
1.2%
53.0 1
1.2%
60.0 1
1.2%
62.7 1
1.2%
ValueCountFrequency (%)
6787.13 1
1.2%
2865.23 1
1.2%
2450.34 1
1.2%
1685.8 1
1.2%
927.3 1
1.2%
679.5 1
1.2%
641.77 1
1.2%
496.0 1
1.2%
468.11 1
1.2%
396.0 1
1.2%

증축연면적(㎡)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing63
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean67.037895
Minimum-32.66
Maximum198
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)1.2%
Memory size870.0 B
2023-12-13T01:15:08.111523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-32.66
5-th percentile3.484
Q135.04
median70.56
Q384
95-th percentile138.87
Maximum198
Range230.66
Interquartile range (IQR)48.96

Descriptive statistics

Standard deviation51.59815
Coefficient of variation (CV)0.76968631
Kurtosis1.4360939
Mean67.037895
Median Absolute Deviation (MAD)16.43
Skewness0.45492859
Sum1273.72
Variance2662.3691
MonotonicityNot monotonic
2023-12-13T01:15:08.583149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
84.0 2
 
2.4%
66.5 1
 
1.2%
-32.66 1
 
1.2%
132.3 1
 
1.2%
63.7 1
 
1.2%
88.0 1
 
1.2%
69.43 1
 
1.2%
54.13 1
 
1.2%
198.0 1
 
1.2%
70.56 1
 
1.2%
Other values (8) 8
 
9.8%
(Missing) 63
76.8%
ValueCountFrequency (%)
-32.66 1
1.2%
7.5 1
1.2%
9.0 1
1.2%
14.05 1
1.2%
15.95 1
1.2%
54.13 1
1.2%
63.7 1
1.2%
66.5 1
1.2%
69.43 1
1.2%
70.56 1
1.2%
ValueCountFrequency (%)
198.0 1
1.2%
132.3 1
1.2%
119.15 1
1.2%
88.0 1
1.2%
84.0 2
2.4%
80.0 1
1.2%
78.11 1
1.2%
72.0 1
1.2%
70.56 1
1.2%
69.43 1
1.2%

건폐율(%)
Real number (ℝ)

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.493366
Minimum0.39
Maximum59.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:08.744056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.39
5-th percentile8.59419
Q116.285
median19.915
Q333.591775
95-th percentile49.2375
Maximum59.21
Range58.82
Interquartile range (IQR)17.306775

Descriptive statistics

Standard deviation12.926155
Coefficient of variation (CV)0.52774107
Kurtosis0.29068463
Mean24.493366
Median Absolute Deviation (MAD)7.73
Skewness0.70856221
Sum2008.456
Variance167.08548
MonotonicityNot monotonic
2023-12-13T01:15:08.916112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.63 2
 
2.4%
19.89 2
 
2.4%
16.36 1
 
1.2%
19.79 1
 
1.2%
35.9846 1
 
1.2%
24.8 1
 
1.2%
34.39 1
 
1.2%
10.37 1
 
1.2%
17.38 1
 
1.2%
39.98 1
 
1.2%
Other values (70) 70
85.4%
ValueCountFrequency (%)
0.39 1
1.2%
0.4078 1
1.2%
2.88 1
1.2%
7.99 1
1.2%
8.5909 1
1.2%
8.6567 1
1.2%
8.98 1
1.2%
9.7263 1
1.2%
10.37 1
1.2%
10.7436 1
1.2%
ValueCountFrequency (%)
59.21 1
1.2%
58.62 1
1.2%
56.48 1
1.2%
52.05 1
1.2%
49.27 1
1.2%
48.62 1
1.2%
44.41 1
1.2%
39.98 1
1.2%
39.88 1
1.2%
39.57 1
1.2%

용적률(%)
Real number (ℝ)

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.984804
Minimum0.28
Maximum88.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:09.085611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile10.28409
Q116.9
median20.615
Q334.98
95-th percentile59.1805
Maximum88.93
Range88.65
Interquartile range (IQR)18.08

Descriptive statistics

Standard deviation16.989182
Coefficient of variation (CV)0.60708597
Kurtosis2.1971815
Mean27.984804
Median Absolute Deviation (MAD)9.04565
Skewness1.3467525
Sum2294.7539
Variance288.63229
MonotonicityNot monotonic
2023-12-13T01:15:09.279716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.63 2
 
2.4%
19.89 2
 
2.4%
16.36 1
 
1.2%
19.79 1
 
1.2%
42.1282 1
 
1.2%
32.88 1
 
1.2%
42.82 1
 
1.2%
10.27 1
 
1.2%
16.22 1
 
1.2%
47.28 1
 
1.2%
Other values (70) 70
85.4%
ValueCountFrequency (%)
0.28 1
1.2%
0.4078 1
1.2%
2.88 1
1.2%
8.5352 1
1.2%
10.27 1
1.2%
10.5518 1
1.2%
12.0687 1
1.2%
12.18 1
1.2%
12.95 1
1.2%
13.04 1
1.2%
ValueCountFrequency (%)
88.93 1
1.2%
77.5583 1
1.2%
73.39 1
1.2%
70.74 1
1.2%
59.21 1
1.2%
58.62 1
1.2%
55.71 1
1.2%
52.05 1
1.2%
47.34 1
1.2%
47.28 1
1.2%

구조
Categorical

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
일반철골구조
36 
경량철골구조
26 
철근콘크리트구조
9 
일반목구조
5 
벽돌구조
4 

Length

Max length8
Median length6
Mean length6.0365854
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반목구조
2nd row경량철골구조
3rd row경량철골구조
4th row일반철골구조
5th row경량철골구조

Common Values

ValueCountFrequency (%)
일반철골구조 36
43.9%
경량철골구조 26
31.7%
철근콘크리트구조 9
 
11.0%
일반목구조 5
 
6.1%
벽돌구조 4
 
4.9%
기타강구조 2
 
2.4%

Length

2023-12-13T01:15:09.467880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:09.641398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반철골구조 36
43.9%
경량철골구조 26
31.7%
철근콘크리트구조 9
 
11.0%
일반목구조 5
 
6.1%
벽돌구조 4
 
4.9%
기타강구조 2
 
2.4%

취소구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

철거멸실구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

신고취소일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

신고일
Categorical

Distinct36
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
2015-08-20
7 
2015-08-27
6 
2015-08-24
 
5
2015-08-11
 
5
2015-08-07
 
5
Other values (31)
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique17 ?
Unique (%)20.7%

Sample

1st row2015-08-28
2nd row2015-08-28
3rd row2015-08-27
4th row2015-08-27
5th row2015-08-27

Common Values

ValueCountFrequency (%)
2015-08-20 7
 
8.5%
2015-08-27 6
 
7.3%
2015-08-24 5
 
6.1%
2015-08-11 5
 
6.1%
2015-08-07 5
 
6.1%
2015-07-30 4
 
4.9%
2015-08-06 4
 
4.9%
2015-08-04 3
 
3.7%
2015-08-25 3
 
3.7%
2015-08-21 3
 
3.7%
Other values (26) 37
45.1%

Length

2023-12-13T01:15:09.768102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-20 7
 
8.5%
2015-08-27 6
 
7.3%
2015-08-24 5
 
6.1%
2015-08-11 5
 
6.1%
2015-08-07 5
 
6.1%
2015-07-30 4
 
4.9%
2015-08-06 4
 
4.9%
2015-08-04 3
 
3.7%
2015-08-25 3
 
3.7%
2015-08-21 3
 
3.7%
Other values (26) 37
45.1%

최종설계변경일
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing78
Missing (%)95.1%
Memory size788.0 B
Minimum2015-08-28 00:00:00
Maximum2015-09-07 00:00:00
2023-12-13T01:15:09.888149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:09.989928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

착공처리일
Categorical

Distinct20
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
2015-08-31
12 
2015-08-28
8 
2015-08-20
7 
2015-08-24
6 
2015-08-26
5 
Other values (15)
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row2015-08-31
2nd row2015-08-31
3rd row2015-08-28
4th row2015-08-28
5th row2015-08-31

Common Values

ValueCountFrequency (%)
2015-08-31 12
14.6%
2015-08-28 8
 
9.8%
2015-08-20 7
 
8.5%
2015-08-24 6
 
7.3%
2015-08-26 5
 
6.1%
2015-08-25 5
 
6.1%
2015-08-07 5
 
6.1%
2015-08-11 4
 
4.9%
2015-08-17 3
 
3.7%
2015-08-21 3
 
3.7%
Other values (10) 24
29.3%

Length

2023-12-13T01:15:10.119797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-31 12
14.6%
2015-08-28 8
 
9.8%
2015-08-20 7
 
8.5%
2015-08-24 6
 
7.3%
2015-08-26 5
 
6.1%
2015-08-25 5
 
6.1%
2015-08-07 5
 
6.1%
2015-08-11 4
 
4.9%
2015-08-03 3
 
3.7%
2015-08-12 3
 
3.7%
Other values (10) 24
29.3%

착공예정일
Categorical

Distinct31
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
2015-08-20
6 
2015-08-31
6 
2015-09-01
 
5
2015-08-24
 
4
2015-08-27
 
4
Other values (26)
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)12.2%

Sample

1st row2015-08-30
2nd row2015-08-30
3rd row2015-08-29
4th row2015-09-05
5th row2015-09-01

Common Values

ValueCountFrequency (%)
2015-08-20 6
 
7.3%
2015-08-31 6
 
7.3%
2015-09-01 5
 
6.1%
2015-08-24 4
 
4.9%
2015-08-27 4
 
4.9%
2015-08-26 4
 
4.9%
2015-08-06 4
 
4.9%
2015-08-13 4
 
4.9%
2015-08-14 4
 
4.9%
2015-08-30 3
 
3.7%
Other values (21) 38
46.3%

Length

2023-12-13T01:15:10.242480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-20 6
 
7.3%
2015-08-31 6
 
7.3%
2015-09-01 5
 
6.1%
2015-08-24 4
 
4.9%
2015-08-27 4
 
4.9%
2015-08-26 4
 
4.9%
2015-08-06 4
 
4.9%
2015-08-13 4
 
4.9%
2015-08-14 4
 
4.9%
2015-08-28 3
 
3.7%
Other values (21) 38
46.3%

실제착공일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

착공연기일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

착공연기사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

임시사용승인기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

사용승인일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing81
Missing (%)98.8%
Memory size788.0 B
Minimum2015-08-25 00:00:00
Maximum2015-08-25 00:00:00
2023-12-13T01:15:10.348277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:10.447186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

건축신고최초접수일
Categorical

Distinct38
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
2015-08-17
7 
2015-08-06
6 
2015-07-27
 
5
2015-07-20
 
5
2015-08-12
 
4
Other values (33)
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique16 ?
Unique (%)19.5%

Sample

1st row2015-08-07
2nd row2015-08-11
3rd row2015-08-17
4th row2015-08-06
5th row2015-08-17

Common Values

ValueCountFrequency (%)
2015-08-17 7
 
8.5%
2015-08-06 6
 
7.3%
2015-07-27 5
 
6.1%
2015-07-20 5
 
6.1%
2015-08-12 4
 
4.9%
2015-07-30 4
 
4.9%
2015-07-22 3
 
3.7%
2015-07-13 3
 
3.7%
2015-08-11 3
 
3.7%
2015-06-08 2
 
2.4%
Other values (28) 40
48.8%

Length

2023-12-13T01:15:10.558576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-17 7
 
8.5%
2015-08-06 6
 
7.3%
2015-07-27 5
 
6.1%
2015-07-20 5
 
6.1%
2015-08-12 4
 
4.9%
2015-07-30 4
 
4.9%
2015-07-22 3
 
3.7%
2015-07-13 3
 
3.7%
2015-08-11 3
 
3.7%
2015-07-23 2
 
2.4%
Other values (28) 40
48.8%

최대지상층수
Categorical

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
1
58 
2
22 
3
 
1
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row2
2nd row2
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 58
70.7%
2 22
 
26.8%
3 1
 
1.2%
0 1
 
1.2%

Length

2023-12-13T01:15:10.681966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:10.808616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
70.7%
2 22
 
26.8%
3 1
 
1.2%
0 1
 
1.2%

최대지하층수
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
0
61 
<NA>
20 
1
 
1

Length

Max length4
Median length1
Mean length1.7317073
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
74.4%
<NA> 20
 
24.4%
1 1
 
1.2%

Length

2023-12-13T01:15:10.955908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:11.089056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
74.4%
na 20
 
24.4%
1 1
 
1.2%

최고높이(m)
Real number (ℝ)

Distinct54
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6788171
Minimum2.5
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:11.215971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.605
Q15.0375
median7.1
Q38.49375
95-th percentile9.18
Maximum9.8
Range7.3
Interquartile range (IQR)3.45625

Descriptive statistics

Standard deviation1.9534279
Coefficient of variation (CV)0.29248113
Kurtosis-1.0603405
Mean6.6788171
Median Absolute Deviation (MAD)1.55
Skewness-0.40106571
Sum547.663
Variance3.8158807
MonotonicityNot monotonic
2023-12-13T01:15:11.387084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 7
 
8.5%
8.7 6
 
7.3%
4.0 3
 
3.7%
8.3 3
 
3.7%
6.4 2
 
2.4%
7.1 2
 
2.4%
8.1 2
 
2.4%
5.3 2
 
2.4%
5.0 2
 
2.4%
6.7 2
 
2.4%
Other values (44) 51
62.2%
ValueCountFrequency (%)
2.5 2
2.4%
2.8 1
 
1.2%
3.35 1
 
1.2%
3.6 1
 
1.2%
3.7 2
2.4%
4.0 3
3.7%
4.1 2
2.4%
4.3 2
2.4%
4.55 1
 
1.2%
4.58 1
 
1.2%
ValueCountFrequency (%)
9.8 1
 
1.2%
9.7 1
 
1.2%
9.361 1
 
1.2%
9.2 2
 
2.4%
8.8 1
 
1.2%
8.7 6
7.3%
8.6 7
8.5%
8.55 1
 
1.2%
8.5 1
 
1.2%
8.475 1
 
1.2%

동수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3902439
Minimum0
Maximum6
Zeros6
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:11.505925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31.75
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.0858927
Coefficient of variation (CV)0.7810807
Kurtosis6.574358
Mean1.3902439
Median Absolute Deviation (MAD)0
Skewness2.3650185
Sum114
Variance1.1791629
MonotonicityNot monotonic
2023-12-13T01:15:11.607407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 55
67.1%
2 13
 
15.9%
0 6
 
7.3%
3 4
 
4.9%
5 3
 
3.7%
6 1
 
1.2%
ValueCountFrequency (%)
0 6
 
7.3%
1 55
67.1%
2 13
 
15.9%
3 4
 
4.9%
5 3
 
3.7%
6 1
 
1.2%
ValueCountFrequency (%)
6 1
 
1.2%
5 3
 
3.7%
3 4
 
4.9%
2 13
 
15.9%
1 55
67.1%
0 6
 
7.3%

승강기합
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
78 
0
 
4

Length

Max length4
Median length4
Mean length3.8536585
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
95.1%
0 4
 
4.9%

Length

2023-12-13T01:15:11.747538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:11.863728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
95.1%
0 4
 
4.9%

비상승강기합
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

하수처리시설명
Categorical

Distinct9
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
기타오수처리시설
53 
하수종말처리장연결
11 
<NA>
 
5
부패탱크방법
 
4
접촉폭기방법
 
3
Other values (4)
6 

Length

Max length13
Median length8
Mean length7.7682927
Min length4

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
기타오수처리시설 53
64.6%
하수종말처리장연결 11
 
13.4%
<NA> 5
 
6.1%
부패탱크방법 4
 
4.9%
접촉폭기방법 3
 
3.7%
혐기및호기성미생물조정방법 2
 
2.4%
기타단독정화조 2
 
2.4%
장기폭기방법 1
 
1.2%
접촉산화방법 1
 
1.2%

Length

2023-12-13T01:15:11.971495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:12.088283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타오수처리시설 53
64.6%
하수종말처리장연결 11
 
13.4%
na 5
 
6.1%
부패탱크방법 4
 
4.9%
접촉폭기방법 3
 
3.7%
혐기및호기성미생물조정방법 2
 
2.4%
기타단독정화조 2
 
2.4%
장기폭기방법 1
 
1.2%
접촉산화방법 1
 
1.2%

하수처리시설용량(㎥)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)19.1%
Missing14
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean4.5336765
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:12.211185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q34
95-th percentile15.844
Maximum40
Range39
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.0636773
Coefficient of variation (CV)1.5580462
Kurtosis15.189982
Mean4.5336765
Median Absolute Deviation (MAD)0
Skewness3.8827174
Sum308.29
Variance49.895537
MonotonicityNot monotonic
2023-12-13T01:15:12.328951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2.0 35
42.7%
3.0 12
 
14.6%
4.0 8
 
9.8%
1.0 3
 
3.7%
5.0 2
 
2.4%
30.0 1
 
1.2%
40.0 1
 
1.2%
34.0 1
 
1.2%
10.0 1
 
1.2%
6.0 1
 
1.2%
Other values (3) 3
 
3.7%
(Missing) 14
 
17.1%
ValueCountFrequency (%)
1.0 3
 
3.7%
2.0 35
42.7%
3.0 12
 
14.6%
4.0 8
 
9.8%
5.0 2
 
2.4%
6.0 1
 
1.2%
7.45 1
 
1.2%
10.0 1
 
1.2%
11.84 1
 
1.2%
18.0 1
 
1.2%
ValueCountFrequency (%)
40.0 1
 
1.2%
34.0 1
 
1.2%
30.0 1
 
1.2%
18.0 1
 
1.2%
11.84 1
 
1.2%
10.0 1
 
1.2%
7.45 1
 
1.2%
6.0 1
 
1.2%
5.0 2
 
2.4%
4.0 8
9.8%

주용도
Categorical

Distinct7
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size788.0 B
단독주택
34 
제2종근린생활시설
24 
제1종근린생활시설
12 
공장
8 
동.식물관련시설
 
2
Other values (2)
 
2

Length

Max length9
Median length8
Mean length6.1341463
Min length2

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row단독주택
2nd row단독주택
3rd row제2종근린생활시설
4th row공장
5th row공장

Common Values

ValueCountFrequency (%)
단독주택 34
41.5%
제2종근린생활시설 24
29.3%
제1종근린생활시설 12
 
14.6%
공장 8
 
9.8%
동.식물관련시설 2
 
2.4%
자동차관련시설 1
 
1.2%
창고시설 1
 
1.2%

Length

2023-12-13T01:15:12.469003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:12.679478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 34
41.5%
제2종근린생활시설 24
29.3%
제1종근린생활시설 12
 
14.6%
공장 8
 
9.8%
동.식물관련시설 2
 
2.4%
자동차관련시설 1
 
1.2%
창고시설 1
 
1.2%

부속용도
Categorical

Distinct21
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
33 
제조업소
10 
단독주택
8 
소매점
8 
사무소
 
3
Other values (16)
20 

Length

Max length14
Median length4
Mean length4.4268293
Min length2

Unique

Unique14 ?
Unique (%)17.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
40.2%
제조업소 10
 
12.2%
단독주택 8
 
9.8%
소매점 8
 
9.8%
사무소 3
 
3.7%
다가구주택 3
 
3.7%
일반음식점 3
 
3.7%
제2종근린생활시설-사무소 1
 
1.2%
제2종근린생활시설-제조업소 1
 
1.2%
배수지 1
 
1.2%
Other values (11) 11
 
13.4%

Length

2023-12-13T01:15:12.847851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 33
39.3%
제조업소 10
 
11.9%
단독주택 8
 
9.5%
소매점 8
 
9.5%
사무소 3
 
3.6%
다가구주택 3
 
3.6%
일반음식점 3
 
3.6%
제2종근린생활시설 2
 
2.4%
1가구 1
 
1.2%
경로당 1
 
1.2%
Other values (12) 12
 
14.3%

용도지역
Categorical

Distinct11
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
계획관리지역
45 
자연녹지지역
8 
생산관리지역
8 
제1종일반주거지역
7 
<NA>
 
3
Other values (6)
11 

Length

Max length9
Median length6
Mean length6.1829268
Min length4

Unique

Unique3 ?
Unique (%)3.7%

Sample

1st row자연녹지지역
2nd row자연녹지지역
3rd row계획관리지역
4th row계획관리지역
5th row계획관리지역

Common Values

ValueCountFrequency (%)
계획관리지역 45
54.9%
자연녹지지역 8
 
9.8%
생산관리지역 8
 
9.8%
제1종일반주거지역 7
 
8.5%
<NA> 3
 
3.7%
농림지역 3
 
3.7%
보전관리지역 3
 
3.7%
생산녹지지역 2
 
2.4%
제2종전용주거지역 1
 
1.2%
일반상업지역 1
 
1.2%

Length

2023-12-13T01:15:12.980783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계획관리지역 45
54.9%
자연녹지지역 8
 
9.8%
생산관리지역 8
 
9.8%
제1종일반주거지역 7
 
8.5%
na 3
 
3.7%
농림지역 3
 
3.7%
보전관리지역 3
 
3.7%
생산녹지지역 2
 
2.4%
제2종전용주거지역 1
 
1.2%
일반상업지역 1
 
1.2%

용도지구
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
자연취락지구
 
7
기타지구
 
2
주거개발진흥지구
 
1

Length

Max length8
Median length4
Mean length4.2195122
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
87.8%
자연취락지구 7
 
8.5%
기타지구 2
 
2.4%
주거개발진흥지구 1
 
1.2%

Length

2023-12-13T01:15:13.119276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:13.258819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
자연취락지구 7
 
8.5%
기타지구 2
 
2.4%
주거개발진흥지구 1
 
1.2%

용도구역
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
71 
제1종지구단위계획구역
 
5
전술항공작전기지의비행안전제5구역
 
2
기타
 
2
지구단위계획구역
 
1

Length

Max length17
Median length4
Mean length4.7439024
Min length2

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
86.6%
제1종지구단위계획구역 5
 
6.1%
전술항공작전기지의비행안전제5구역 2
 
2.4%
기타 2
 
2.4%
지구단위계획구역 1
 
1.2%
접도구역 1
 
1.2%

Length

2023-12-13T01:15:13.381623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:13.524115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
86.6%
제1종지구단위계획구역 5
 
6.1%
전술항공작전기지의비행안전제5구역 2
 
2.4%
기타 2
 
2.4%
지구단위계획구역 1
 
1.2%
접도구역 1
 
1.2%

자주식옥내주차장(대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
78 
1
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.8536585
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
95.1%
1 3
 
3.7%
3 1
 
1.2%

Length

2023-12-13T01:15:13.667996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:13.799603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
95.1%
1 3
 
3.7%
3 1
 
1.2%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)11.3%
Missing11
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean2.4788732
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:13.906654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum28
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4552616
Coefficient of variation (CV)1.393884
Kurtosis43.392466
Mean2.4788732
Median Absolute Deviation (MAD)1
Skewness6.0277558
Sum176
Variance11.938833
MonotonicityNot monotonic
2023-12-13T01:15:14.027154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 33
40.2%
2 22
26.8%
6 4
 
4.9%
3 4
 
4.9%
5 3
 
3.7%
4 3
 
3.7%
28 1
 
1.2%
8 1
 
1.2%
(Missing) 11
 
13.4%
ValueCountFrequency (%)
1 33
40.2%
2 22
26.8%
3 4
 
4.9%
4 3
 
3.7%
5 3
 
3.7%
6 4
 
4.9%
8 1
 
1.2%
28 1
 
1.2%
ValueCountFrequency (%)
28 1
 
1.2%
8 1
 
1.2%
6 4
 
4.9%
5 3
 
3.7%
4 3
 
3.7%
3 4
 
4.9%
2 22
26.8%
1 33
40.2%

기계식옥내주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

기계식옥외주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

인근자주식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

인근기계식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

총주차대수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)10.7%
Missing7
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean2.4266667
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:14.139147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum28
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.3738795
Coefficient of variation (CV)1.390335
Kurtosis45.466049
Mean2.4266667
Median Absolute Deviation (MAD)1
Skewness6.1593636
Sum182
Variance11.383063
MonotonicityNot monotonic
2023-12-13T01:15:14.257616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 36
43.9%
2 22
26.8%
3 5
 
6.1%
6 4
 
4.9%
5 3
 
3.7%
4 3
 
3.7%
28 1
 
1.2%
8 1
 
1.2%
(Missing) 7
 
8.5%
ValueCountFrequency (%)
1 36
43.9%
2 22
26.8%
3 5
 
6.1%
4 3
 
3.7%
5 3
 
3.7%
6 4
 
4.9%
8 1
 
1.2%
28 1
 
1.2%
ValueCountFrequency (%)
28 1
 
1.2%
8 1
 
1.2%
6 4
 
4.9%
5 3
 
3.7%
4 3
 
3.7%
3 5
 
6.1%
2 22
26.8%
1 36
43.9%

총주차장면적(㎡)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)10.7%
Missing7
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean28.04
Minimum11.5
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:14.379098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.5
5-th percentile11.5
Q111.5
median23
Q323
95-th percentile69
Maximum332
Range320.5
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation39.827479
Coefficient of variation (CV)1.4203809
Kurtosis46.787271
Mean28.04
Median Absolute Deviation (MAD)11.5
Skewness6.2742041
Sum2103
Variance1586.2281
MonotonicityNot monotonic
2023-12-13T01:15:14.515435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
11.5 36
43.9%
23.0 22
26.8%
34.5 5
 
6.1%
69.0 4
 
4.9%
57.5 3
 
3.7%
46.0 3
 
3.7%
332.0 1
 
1.2%
92.0 1
 
1.2%
(Missing) 7
 
8.5%
ValueCountFrequency (%)
11.5 36
43.9%
23.0 22
26.8%
34.5 5
 
6.1%
46.0 3
 
3.7%
57.5 3
 
3.7%
69.0 4
 
4.9%
92.0 1
 
1.2%
332.0 1
 
1.2%
ValueCountFrequency (%)
332.0 1
 
1.2%
92.0 1
 
1.2%
69.0 4
 
4.9%
57.5 3
 
3.7%
46.0 3
 
3.7%
34.5 5
 
6.1%
23.0 22
26.8%
11.5 36
43.9%

세대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
77 
1
 
5

Length

Max length4
Median length4
Mean length3.8170732
Min length1

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> 77
93.9%
1 5
 
6.1%

Length

2023-12-13T01:15:14.650495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:14.769536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
93.9%
1 5
 
6.1%

호수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
81 
1
 
1

Length

Max length4
Median length4
Mean length3.9634146
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
98.8%
1 1
 
1.2%

Length

2023-12-13T01:15:14.898343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:15.011251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
98.8%
1 1
 
1.2%

가구수
Categorical

Distinct5
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
53 
1
23 
2
 
4
6
 
1
5
 
1

Length

Max length4
Median length4
Mean length2.9390244
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
64.6%
1 23
28.0%
2 4
 
4.9%
6 1
 
1.2%
5 1
 
1.2%

Length

2023-12-13T01:15:15.141923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:15.270218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
64.6%
1 23
28.0%
2 4
 
4.9%
6 1
 
1.2%
5 1
 
1.2%

주건축물수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)7.9%
Missing6
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean1.4078947
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:15:15.389937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.91181331
Coefficient of variation (CV)0.6476431
Kurtosis11.059772
Mean1.4078947
Median Absolute Deviation (MAD)0
Skewness3.0986036
Sum107
Variance0.83140351
MonotonicityNot monotonic
2023-12-13T01:15:15.492411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 57
69.5%
2 13
 
15.9%
3 3
 
3.7%
4 1
 
1.2%
5 1
 
1.2%
6 1
 
1.2%
(Missing) 6
 
7.3%
ValueCountFrequency (%)
1 57
69.5%
2 13
 
15.9%
3 3
 
3.7%
4 1
 
1.2%
5 1
 
1.2%
6 1
 
1.2%
ValueCountFrequency (%)
6 1
 
1.2%
5 1
 
1.2%
4 1
 
1.2%
3 3
 
3.7%
2 13
 
15.9%
1 57
69.5%

부속건축물수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
76 
1
 
5
2
 
1

Length

Max length4
Median length4
Mean length3.7804878
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
92.7%
1 5
 
6.1%
2 1
 
1.2%

Length

2023-12-13T01:15:15.619511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:15.747360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
92.7%
1 5
 
6.1%
2 1
 
1.2%

Sample

건축구분대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분신고취소일신고일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축신고최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(㎥)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(㎡)세대수호수가구수주건축물수부속건축물수
0신축경기도 화성시 우정읍 조암리 493-46임야606.099.1299.12<NA>16.3616.36일반목구조<NA><NA><NA>2015-08-28<NA>2015-08-312015-08-30<NA><NA><NA><NA><NA>2015-08-07206.41<NA><NA>기타오수처리시설2.0단독주택단독주택자연녹지지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA>11<NA>
1신축경기도 화성시 우정읍 조암리 493-41임야662.086.7399.33<NA>13.115.0경량철골구조<NA><NA><NA>2015-08-28<NA>2015-08-312015-08-30<NA><NA><NA><NA><NA>2015-08-11207.771<NA><NA>기타오수처리시설2.0단독주택단독주택자연녹지지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA>11<NA>
2증축경기도 화성시 정남면 음양리 535-1대660.0156.69312.4370.5623.7447.34경량철골구조<NA><NA><NA>2015-08-27<NA>2015-08-282015-08-29<NA><NA><NA><NA><NA>2015-08-173<NA>7.010<NA>기타오수처리시설30.0제2종근린생활시설일반음식점계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
3신축경기도 화성시 정남면 문학리 501-48 외1필지임야713.0112.6176.11<NA>15.7924.7일반철골구조<NA><NA><NA>2015-08-27<NA>2015-08-282015-09-05<NA><NA><NA><NA><NA>2015-08-06108.4751<NA><NA>기타오수처리시설2.0공장<NA>계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
4증축경기도 화성시 마도면 고모리 410-5 외2필지공장용지8751.02932.216787.1372.033.507177.5583경량철골구조<NA><NA><NA>2015-08-272015-09-022015-08-312015-09-01<NA><NA><NA><NA><NA>2015-08-171<NA>4.05<NA><NA>기타오수처리시설40.0공장<NA>계획관리지역<NA><NA><NA>28<NA><NA><NA><NA>28332.0<NA><NA><NA>41
5신축경기도 화성시 송산면 육일리 427-4답670.0126.54126.54<NA>18.8918.89일반철골구조<NA><NA><NA>2015-08-27<NA>2015-08-312015-08-31<NA><NA><NA><NA><NA>2015-08-17109.21<NA><NA>기타오수처리시설2.0제1종근린생활시설소매점생산관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
6신축경기도 화성시 송산면 육일리 430답670.0133.28133.28<NA>19.8919.89일반철골구조<NA><NA><NA>2015-08-27<NA>2015-08-312015-08-31<NA><NA><NA><NA><NA>2015-08-17109.21<NA><NA>기타오수처리시설2.0제2종근린생활시설사무소생산관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
7신축경기도 화성시 남양읍 북양리 114대244.087.8987.89<NA>36.0236.02경량철골구조<NA><NA><NA>2015-08-27<NA>2015-08-312015-08-31<NA><NA><NA><NA><NA>2015-08-17104.751<NA><NA>혐기및호기성미생물조정방법2.0단독주택<NA>제1종일반주거지역<NA>제1종지구단위계획구역<NA>1<NA><NA><NA><NA>111.5<NA><NA>11<NA>
8증축경기도 화성시 장안면 장안리 389-53 외1필지대658.0292.23292.23119.1544.4144.41경량철골구조<NA><NA><NA>2015-08-26<NA>2015-08-282015-09-01<NA><NA><NA><NA><NA>2015-08-121<NA>6.03<NA><NA>부패탱크방법2.0단독주택<NA>계획관리지역자연취락지구<NA><NA>2<NA><NA><NA><NA>223.0<NA><NA>13<NA>
9신축경기도 화성시 기안동 20-266전655.018.8818.88<NA>2.882.88기타강구조<NA><NA><NA>2015-08-25<NA>2015-08-282015-08-27<NA><NA><NA><NA><NA>2015-08-11103.352<NA><NA>하수종말처리장연결<NA>제1종근린생활시설소매점생산녹지지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>11
건축구분대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분신고취소일신고일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축신고최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(㎥)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(㎡)세대수호수가구수주건축물수부속건축물수
72신축경기도 화성시 양감면 송산리 374-3임야1769.0396.0396.0<NA>22.3922.39일반철골구조<NA><NA><NA>2015-06-19<NA>2015-08-112015-08-13<NA><NA><NA><NA><NA>2015-06-12109.72<NA><NA>기타오수처리시설2.0제2종근린생활시설제조업소계획관리지역<NA><NA><NA>3<NA><NA><NA><NA>334.5<NA><NA><NA>2<NA>
73신축경기도 화성시 반정동 189-1답1984.0334.36334.36<NA>16.8516.85경량철골구조<NA><NA><NA>2015-06-18<NA>2015-08-242015-08-24<NA><NA><NA><NA><NA>2015-05-22104.582<NA><NA>기타오수처리시설2.0동.식물관련시설작물재배사농림지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>2<NA>
74증축경기도 화성시 우정읍 조암리 476-12대389.0219.72345.94-32.6656.4888.93일반철골구조<NA><NA><NA>2015-06-05<NA>2015-08-122015-08-17<NA><NA><NA><NA><NA>2015-05-202<NA>8.51<NA><NA>하수종말처리장연결11.84제2종근린생활시설다가구주택제2종일반주거지역기타지구기타<NA>6<NA><NA><NA><NA>669.0<NA><NA>51<NA>
75신축경기도 화성시 정남면 계향리 340-2묘지475.046.292.4<NA>9.726319.4526일반목구조<NA><NA><NA>2015-06-04<NA>2015-08-102015-06-29<NA><NA><NA><NA><NA>2015-05-20209.3611<NA><NA>기타오수처리시설2.0단독주택<NA>자연녹지지역<NA><NA>1<NA><NA><NA><NA><NA>111.51<NA><NA>1<NA>
76신축경기도 화성시 정남면 금복리 26-5대547.098.297.95<NA>17.9517.91경량철골구조<NA><NA><NA>2015-05-12<NA>2015-08-032015-07-31<NA><NA><NA><NA><NA>2015-04-20105.451<NA><NA>기타오수처리시설2.0단독주택<NA>계획관리지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA>11<NA>
77신축경기도 화성시 향남읍 수직리 174 외2필지임야380.0133.5133.5<NA>35.1335.13일반철골구조<NA><NA><NA>2014-11-18<NA>2015-08-312015-09-01<NA><NA><NA><NA><NA>2014-10-30109.82<NA><NA>부패탱크방법<NA>제2종근린생활시설제조업소계획관리지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>11
78신축경기도 화성시 향남읍 동오리 283 외1필지전980.0194.93194.93<NA>19.8919.89일반철골구조<NA><NA><NA>2014-10-15<NA>2015-08-052015-08-06<NA><NA><NA><NA><NA>2014-09-30108.551<NA><NA>기타오수처리시설4.0제1종근린생활시설소매점생산관리지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>1<NA>
79신축경기도 화성시 향남읍 동오리 283전357.070.0270.02<NA>19.6119.61일반철골구조<NA><NA><NA>2014-10-15<NA>2015-08-052015-08-06<NA><NA><NA><NA><NA>2014-09-30105.451<NA><NA>기타오수처리시설2.0제2종근린생활시설사무소생산관리지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>1<NA>
80신축경기도 화성시 향남읍 화리현리 177 외2필지공장용지937.0198.0198.0<NA>21.1321.13일반철골구조<NA><NA><NA>2014-09-18<NA>2015-08-312015-08-31<NA><NA><NA><NA><NA>2014-08-26108.61<NA><NA>기타오수처리시설3.0공장<NA>계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
81신축경기도 화성시 향남읍 화리현리 178 외1필지전1110.0390.0390.0<NA>35.1435.14일반철골구조<NA><NA><NA>2014-09-18<NA>2015-08-312015-08-31<NA><NA><NA><NA><NA>2014-08-26108.62<NA><NA>기타오수처리시설3.0공장<NA>계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>2<NA>