Overview

Dataset statistics

Number of variables49
Number of observations107
Missing cells1630
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.3 KiB
Average record size in memory424.2 B

Variable types

Categorical20
Text2
Numeric15
Unsupported9
DateTime3

Dataset

Description화성시 2015년 08월기준 건축신고현황(건축구분, 대지위치, 지목, 대지면적, 건축면적 등)을 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15052046/fileData.do

Alerts

취소구분 has constant value ""Constant
신고취소일 has constant value ""Constant
승강기합 is highly imbalanced (67.5%)Imbalance
비상승강기합 is highly imbalanced (92.4%)Imbalance
용도지구 is highly imbalanced (71.7%)Imbalance
용도구역 is highly imbalanced (69.0%)Imbalance
세대수 is highly imbalanced (68.8%)Imbalance
호수 is highly imbalanced (92.4%)Imbalance
가구수 is highly imbalanced (56.3%)Imbalance
부속건축물수 is highly imbalanced (78.0%)Imbalance
증축연면적(㎡) has 79 (73.8%) missing valuesMissing
취소구분 has 106 (99.1%) missing valuesMissing
철거멸실구분 has 107 (100.0%) missing valuesMissing
신고취소일 has 106 (99.1%) missing valuesMissing
최종설계변경일 has 103 (96.3%) missing valuesMissing
실제착공일 has 107 (100.0%) missing valuesMissing
착공연기일 has 107 (100.0%) missing valuesMissing
착공연기사유 has 107 (100.0%) missing valuesMissing
임시사용승인기간 has 107 (100.0%) missing valuesMissing
사용승인일 has 102 (95.3%) missing valuesMissing
하수처리시설용량(㎥) has 25 (23.4%) missing valuesMissing
자주식옥내주차장(대) has 98 (91.6%) missing valuesMissing
자주식옥외주차장(대) has 20 (18.7%) missing valuesMissing
기계식옥내주차장(대) has 107 (100.0%) missing valuesMissing
기계식옥외주차장(대) has 107 (100.0%) missing valuesMissing
인근자주식주차장(대) has 107 (100.0%) missing valuesMissing
인근기계식주차장(대) has 107 (100.0%) missing valuesMissing
총주차대수 has 11 (10.3%) missing valuesMissing
총주차장면적(㎡) has 11 (10.3%) missing valuesMissing
주건축물수 has 6 (5.6%) missing valuesMissing
철거멸실구분 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
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 (5.6%) zerosZeros

Reproduction

Analysis started2023-12-12 14:51:54.635075
Analysis finished2023-12-12 14:51:55.186851
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
신축
69 
증축
28 
용도변경
8 
개축
 
1
대수선
 
1

Length

Max length4
Median length2
Mean length2.1588785
Min length2

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
신축 69
64.5%
증축 28
26.2%
용도변경 8
 
7.5%
개축 1
 
0.9%
대수선 1
 
0.9%

Length

2023-12-12T23:51:55.266762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:51:55.437831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 69
64.5%
증축 28
26.2%
용도변경 8
 
7.5%
개축 1
 
0.9%
대수선 1
 
0.9%

대지위치
Text

Distinct102
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T23:51:55.789470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.878505
Min length15

Characters and Unicode

Total characters2341
Distinct characters118
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

Unique97 ?
Unique (%)90.7%

Sample

1st row경기도 화성시 남양읍 남양리 1047
2nd row경기도 화성시 남양읍 활초리 520-5
3rd row경기도 화성시 동탄면 방교리 835-1
4th row경기도 화성시 봉담읍 동화리 484-1
5th row경기도 화성시 정남면 관항리 190-6 외1필지
ValueCountFrequency (%)
경기도 107
18.9%
화성시 107
18.9%
외1필지 20
 
3.5%
남양읍 18
 
3.2%
정남면 17
 
3.0%
향남읍 10
 
1.8%
서신면 9
 
1.6%
봉담읍 8
 
1.4%
우정읍 7
 
1.2%
동탄면 6
 
1.1%
Other values (186) 258
45.5%
2023-12-12T23:51:56.297721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
460
19.6%
기 117
 
5.0%
도 113
 
4.8%
화 113
 
4.8%
경 107
 
4.6%
성 107
 
4.6%
시 107
 
4.6%
리 103
 
4.4%
1 83
 
3.5%
- 70
 
3.0%
Other values (108) 961
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1383
59.1%
Space Separator 460
 
19.6%
Decimal Number 428
 
18.3%
Dash Punctuation 70
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 117
 
8.5%
도 113
 
8.2%
화 113
 
8.2%
경 107
 
7.7%
성 107
 
7.7%
시 107
 
7.7%
리 103
 
7.4%
면 60
 
4.3%
남 52
 
3.8%
읍 43
 
3.1%
Other values (96) 461
33.3%
Decimal Number
ValueCountFrequency (%)
1 83
19.4%
2 66
15.4%
4 43
10.0%
5 41
9.6%
3 40
9.3%
7 39
9.1%
6 35
8.2%
9 30
 
7.0%
8 27
 
6.3%
0 24
 
5.6%
Space Separator
ValueCountFrequency (%)
460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
59.1%
Common 958
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 117
 
8.5%
도 113
 
8.2%
화 113
 
8.2%
경 107
 
7.7%
성 107
 
7.7%
시 107
 
7.7%
리 103
 
7.4%
면 60
 
4.3%
남 52
 
3.8%
읍 43
 
3.1%
Other values (96) 461
33.3%
Common
ValueCountFrequency (%)
460
48.0%
1 83
 
8.7%
- 70
 
7.3%
2 66
 
6.9%
4 43
 
4.5%
5 41
 
4.3%
3 40
 
4.2%
7 39
 
4.1%
6 35
 
3.7%
9 30
 
3.1%
Other values (2) 51
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
59.1%
ASCII 958
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
460
48.0%
1 83
 
8.7%
- 70
 
7.3%
2 66
 
6.9%
4 43
 
4.5%
5 41
 
4.3%
3 40
 
4.2%
7 39
 
4.1%
6 35
 
3.7%
9 30
 
3.1%
Other values (2) 51
 
5.3%
Hangul
ValueCountFrequency (%)
기 117
 
8.5%
도 113
 
8.2%
화 113
 
8.2%
경 107
 
7.7%
성 107
 
7.7%
시 107
 
7.7%
리 103
 
7.4%
면 60
 
4.3%
남 52
 
3.8%
읍 43
 
3.1%
Other values (96) 461
33.3%

지목
Categorical

Distinct10
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
대
37 
답
19 
임야
18 
공장용지
13 
전
13 
Other values (5)
7 

Length

Max length4
Median length1
Mean length1.6448598
Min length1

Unique

Unique3 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
대 37
34.6%
답 19
17.8%
임야 18
16.8%
공장용지 13
 
12.1%
전 13
 
12.1%
공원 2
 
1.9%
잡종지 2
 
1.9%
창고용지 1
 
0.9%
주차장 1
 
0.9%
유지 1
 
0.9%

Length

2023-12-12T23:51:56.491502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:51:56.679556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 37
34.6%
답 19
17.8%
임야 18
16.8%
공장용지 13
 
12.1%
전 13
 
12.1%
공원 2
 
1.9%
잡종지 2
 
1.9%
창고용지 1
 
0.9%
주차장 1
 
0.9%
유지 1
 
0.9%

대지면적(㎡)
Real number (ℝ)

Distinct100
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5286.1997
Minimum203
Maximum374061.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:51:56.876770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203
5-th percentile286.5
Q1495.5
median683
Q31650
95-th percentile7165.3
Maximum374061.1
Range373858.1
Interquartile range (IQR)1154.5

Descriptive statistics

Standard deviation36210.224
Coefficient of variation (CV)6.8499537
Kurtosis104.31702
Mean5286.1997
Median Absolute Deviation (MAD)307
Skewness10.159062
Sum565623.37
Variance1.3111803 × 109
MonotonicityNot monotonic
2023-12-12T23:51:57.079829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
670.0 2
 
1.9%
476.0 2
 
1.9%
496.0 2
 
1.9%
1652.0 2
 
1.9%
500.0 2
 
1.9%
660.0 2
 
1.9%
990.0 2
 
1.9%
282.0 1
 
0.9%
7813.0 1
 
0.9%
524.0 1
 
0.9%
Other values (90) 90
84.1%
ValueCountFrequency (%)
203.0 1
0.9%
244.0 1
0.9%
255.0 1
0.9%
265.0 1
0.9%
282.0 1
0.9%
285.0 1
0.9%
290.0 1
0.9%
320.0 1
0.9%
331.0 1
0.9%
333.0 1
0.9%
ValueCountFrequency (%)
374061.1 1
0.9%
35206.0 1
0.9%
15177.0 1
0.9%
14943.0 1
0.9%
8751.0 1
0.9%
7813.0 1
0.9%
5654.0 1
0.9%
4941.0 1
0.9%
4180.0 1
0.9%
3976.6 1
0.9%

건축면적(㎡)
Real number (ℝ)

Distinct99
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429.97832
Minimum18.88
Maximum6582.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:51:57.251097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.88
5-th percentile51.32
Q198.16
median173.45
Q3388.5
95-th percentile1809.901
Maximum6582.49
Range6563.61
Interquartile range (IQR)290.34

Descriptive statistics

Standard deviation841.51155
Coefficient of variation (CV)1.9571023
Kurtosis28.209284
Mean429.97832
Median Absolute Deviation (MAD)85.56
Skewness4.7186717
Sum46007.68
Variance708141.69
MonotonicityNot monotonic
2023-12-12T23:51:57.439002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 4
 
3.7%
390.0 2
 
1.9%
88.5 2
 
1.9%
396.0 2
 
1.9%
195.0 2
 
1.9%
99.45 2
 
1.9%
176.14 1
 
0.9%
123.8 1
 
0.9%
31.86 1
 
0.9%
179.5 1
 
0.9%
Other values (89) 89
83.2%
ValueCountFrequency (%)
18.88 1
0.9%
31.86 1
0.9%
32.7 1
0.9%
44.58 1
0.9%
50.0 1
0.9%
50.6 1
0.9%
53.0 1
0.9%
58.67 1
0.9%
60.0 1
0.9%
62.7 1
0.9%
ValueCountFrequency (%)
6582.49 1
0.9%
3023.01 1
0.9%
2932.21 1
0.9%
2703.79 1
0.9%
2450.34 1
0.9%
1924.87 1
0.9%
1541.64 1
0.9%
1499.2 1
0.9%
1490.9 1
0.9%
1365.31 1
0.9%

연면적(㎡)
Real number (ℝ)

Distinct98
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean933.15542
Minimum18.88
Maximum25755.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:51:57.595635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.88
5-th percentile46.206
Q199.225
median194.13
Q3391.02
95-th percentile2740.763
Maximum25755.08
Range25736.2
Interquartile range (IQR)291.795

Descriptive statistics

Standard deviation3264.6859
Coefficient of variation (CV)3.4985447
Kurtosis41.472506
Mean933.15542
Median Absolute Deviation (MAD)108.15
Skewness6.2135356
Sum99847.63
Variance10658174
MonotonicityNot monotonic
2023-12-12T23:51:57.773306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 4
 
3.7%
99.45 3
 
2.8%
84.08 2
 
1.9%
396.0 2
 
1.9%
195.0 2
 
1.9%
99.33 2
 
1.9%
165.0 1
 
0.9%
31.86 1
 
0.9%
194.13 1
 
0.9%
395.0 1
 
0.9%
Other values (88) 88
82.2%
ValueCountFrequency (%)
18.88 1
0.9%
31.86 1
0.9%
32.7 1
0.9%
33.6 1
0.9%
41.39 1
0.9%
44.58 1
0.9%
50.0 1
0.9%
50.6 1
0.9%
53.0 1
0.9%
60.0 1
0.9%
ValueCountFrequency (%)
25755.08 1
0.9%
19659.73 1
0.9%
8354.8 1
0.9%
6787.13 1
0.9%
4517.3 1
0.9%
2865.23 1
0.9%
2450.34 1
0.9%
2000.47 1
0.9%
1725.69 1
0.9%
1685.8 1
0.9%

증축연면적(㎡)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing79
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean83.1175
Minimum7.5
Maximum523.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:51:57.927693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile10.7675
Q129.25
median68.465
Q384
95-th percentile197.1285
Maximum523.64
Range516.14
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation98.316582
Coefficient of variation (CV)1.1828626
Kurtosis15.532036
Mean83.1175
Median Absolute Deviation (MAD)21.905
Skewness3.6081688
Sum2327.29
Variance9666.1502
MonotonicityNot monotonic
2023-12-12T23:51:58.092307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
84.0 2
 
1.9%
7.5 1
 
0.9%
88.0 1
 
0.9%
69.43 1
 
0.9%
80.25 1
 
0.9%
21.0 1
 
0.9%
32.0 1
 
0.9%
58.9 1
 
0.9%
18.0 1
 
0.9%
54.13 1
 
0.9%
Other values (17) 17
 
15.9%
(Missing) 79
73.8%
ValueCountFrequency (%)
7.5 1
0.9%
9.0 1
0.9%
14.05 1
0.9%
15.95 1
0.9%
18.0 1
0.9%
20.58 1
0.9%
21.0 1
0.9%
32.0 1
0.9%
40.39 1
0.9%
54.13 1
0.9%
ValueCountFrequency (%)
523.64 1
0.9%
198.0 1
0.9%
195.51 1
0.9%
119.15 1
0.9%
92.74 1
0.9%
88.0 1
0.9%
84.0 2
1.9%
80.25 1
0.9%
80.0 1
0.9%
78.11 1
0.9%

건폐율(%)
Real number (ℝ)

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.587517
Minimum0.167
Maximum76.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:51:58.273966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.167
5-th percentile3.12
Q118.645
median23.86
Q335.39355
95-th percentile53.064
Maximum76.02
Range75.853
Interquartile range (IQR)16.74855

Descriptive statistics

Standard deviation14.505069
Coefficient of variation (CV)0.54555939
Kurtosis1.2658489
Mean26.587517
Median Absolute Deviation (MAD)9.34
Skewness0.76729451
Sum2844.8643
Variance210.39704
MonotonicityNot monotonic
2023-12-12T23:51:58.469032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.63 2
 
1.9%
34.26 2
 
1.9%
28.0 1
 
0.9%
39.57 1
 
0.9%
19.98 1
 
0.9%
32.97 1
 
0.9%
49.27 1
 
0.9%
26.6 1
 
0.9%
43.9 1
 
0.9%
33.62 1
 
0.9%
Other values (95) 95
88.8%
ValueCountFrequency (%)
0.167 1
0.9%
0.39 1
0.9%
0.4078 1
0.9%
0.58 1
0.9%
2.7 1
0.9%
2.88 1
0.9%
3.68 1
0.9%
8.6567 1
0.9%
8.98 1
0.9%
10.09 1
0.9%
ValueCountFrequency (%)
76.02 1
0.9%
74.25 1
0.9%
58.62 1
0.9%
57.0886 1
0.9%
56.3 1
0.9%
54.69 1
0.9%
49.27 1
0.9%
48.62 1
0.9%
44.41 1
0.9%
44.2 1
0.9%

용적률(%)
Real number (ℝ)

Distinct106
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.967801
Minimum0.167
Maximum800.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:51:58.666581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.167
5-th percentile2.754
Q118.735
median26.23
Q339.175
95-th percentile84.07208
Maximum800.3
Range800.133
Interquartile range (IQR)20.44

Descriptive statistics

Standard deviation96.858822
Coefficient of variation (CV)2.202949
Kurtosis48.063224
Mean43.967801
Median Absolute Deviation (MAD)9.57
Skewness6.7840335
Sum4704.5547
Variance9381.6313
MonotonicityNot monotonic
2023-12-12T23:51:58.834646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.63 2
 
1.9%
26.23 1
 
0.9%
70.74 1
 
0.9%
17.77 1
 
0.9%
19.98 1
 
0.9%
32.97 1
 
0.9%
55.71 1
 
0.9%
34.14 1
 
0.9%
77.0 1
 
0.9%
33.62 1
 
0.9%
Other values (96) 96
89.7%
ValueCountFrequency (%)
0.167 1
0.9%
0.28 1
0.9%
0.4078 1
0.9%
0.58 1
0.9%
1.24 1
0.9%
2.7 1
0.9%
2.88 1
0.9%
8.5352 1
0.9%
10.09 1
0.9%
12.01 1
0.9%
ValueCountFrequency (%)
800.3 1
0.9%
636.8388 1
0.9%
132.14 1
0.9%
123.93 1
0.9%
103.4 1
0.9%
86.8637 1
0.9%
77.5583 1
0.9%
77.0 1
0.9%
73.39 1
0.9%
70.74 1
0.9%

구조
Categorical

Distinct7
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
일반철골구조
47 
경량철골구조
32 
철근콘크리트구조
14 
벽돌구조
5 
일반목구조
 
4
Other values (2)
5 

Length

Max length8
Median length6
Mean length6.0654206
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반철골구조 47
43.9%
경량철골구조 32
29.9%
철근콘크리트구조 14
 
13.1%
벽돌구조 5
 
4.7%
일반목구조 4
 
3.7%
기타강구조 3
 
2.8%
<NA> 2
 
1.9%

Length

2023-12-12T23:51:59.019285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:51:59.526182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반철골구조 47
43.9%
경량철골구조 32
29.9%
철근콘크리트구조 14
 
13.1%
벽돌구조 5
 
4.7%
일반목구조 4
 
3.7%
기타강구조 3
 
2.8%
na 2
 
1.9%

취소구분
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing106
Missing (%)99.1%
Memory size988.0 B
2023-12-12T23:51:59.640723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row취소
ValueCountFrequency (%)
취소 1
100.0%
2023-12-12T23:51:59.909263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
취 1
50.0%
소 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
취 1
50.0%
소 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
취 1
50.0%
소 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
취 1
50.0%
소 1
50.0%

철거멸실구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

신고취소일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing106
Missing (%)99.1%
Memory size988.0 B
Minimum2015-09-10 00:00:00
Maximum2015-09-10 00:00:00
2023-12-12T23:52:00.021010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:52:00.117009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

신고일
Categorical

Distinct19
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
2015-08-25
9 
2015-08-28
9 
2015-08-17
9 
2015-08-21
8 
2015-08-19
8 
Other values (14)
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
2015-08-25 9
 
8.4%
2015-08-28 9
 
8.4%
2015-08-17 9
 
8.4%
2015-08-21 8
 
7.5%
2015-08-19 8
 
7.5%
2015-08-24 7
 
6.5%
2015-08-20 7
 
6.5%
2015-08-11 7
 
6.5%
2015-08-06 6
 
5.6%
2015-08-05 6
 
5.6%
Other values (9) 31
29.0%

Length

2023-12-12T23:52:00.236261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-25 9
 
8.4%
2015-08-28 9
 
8.4%
2015-08-17 9
 
8.4%
2015-08-21 8
 
7.5%
2015-08-19 8
 
7.5%
2015-08-24 7
 
6.5%
2015-08-20 7
 
6.5%
2015-08-11 7
 
6.5%
2015-08-27 6
 
5.6%
2015-08-05 6
 
5.6%
Other values (9) 31
29.0%

최종설계변경일
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing103
Missing (%)96.3%
Memory size988.0 B
Minimum2015-08-28 00:00:00
Maximum2015-09-09 00:00:00
2023-12-12T23:52:00.362662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:52:00.472950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

착공처리일
Categorical

Distinct26
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
33 
2015-08-31
9 
2015-08-28
7 
2015-08-20
7 
2015-09-03
6 
Other values (21)
45 

Length

Max length10
Median length10
Mean length8.1495327
Min length4

Unique

Unique8 ?
Unique (%)7.5%

Sample

1st row<NA>
2nd row2015-09-09
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 33
30.8%
2015-08-31 9
 
8.4%
2015-08-28 7
 
6.5%
2015-08-20 7
 
6.5%
2015-09-03 6
 
5.6%
2015-08-25 5
 
4.7%
2015-08-26 4
 
3.7%
2015-08-24 4
 
3.7%
2015-08-19 3
 
2.8%
2015-09-08 3
 
2.8%
Other values (16) 26
24.3%

Length

2023-12-12T23:52:00.603830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 33
30.8%
2015-08-31 9
 
8.4%
2015-08-28 7
 
6.5%
2015-08-20 7
 
6.5%
2015-09-03 6
 
5.6%
2015-08-25 5
 
4.7%
2015-08-26 4
 
3.7%
2015-08-24 4
 
3.7%
2015-08-19 3
 
2.8%
2015-09-08 3
 
2.8%
Other values (16) 26
24.3%

착공예정일
Categorical

Distinct32
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
33 
2015-08-31
 
5
2015-08-20
 
5
2015-08-26
 
4
2015-09-14
 
4
Other values (27)
56 

Length

Max length10
Median length10
Mean length8.1495327
Min length4

Unique

Unique9 ?
Unique (%)8.4%

Sample

1st row<NA>
2nd row2015-09-11
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 33
30.8%
2015-08-31 5
 
4.7%
2015-08-20 5
 
4.7%
2015-08-26 4
 
3.7%
2015-09-14 4
 
3.7%
2015-09-01 4
 
3.7%
2015-09-07 3
 
2.8%
2015-09-04 3
 
2.8%
2015-08-30 3
 
2.8%
2015-08-27 3
 
2.8%
Other values (22) 40
37.4%

Length

2023-12-12T23:52:00.744981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 33
30.8%
2015-08-20 5
 
4.7%
2015-08-31 5
 
4.7%
2015-08-26 4
 
3.7%
2015-09-14 4
 
3.7%
2015-09-01 4
 
3.7%
2015-08-28 3
 
2.8%
2015-08-13 3
 
2.8%
2015-08-14 3
 
2.8%
2015-08-22 3
 
2.8%
Other values (22) 40
37.4%

실제착공일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

착공연기일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

착공연기사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

임시사용승인기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

사용승인일
Date

MISSING 

Distinct4
Distinct (%)80.0%
Missing102
Missing (%)95.3%
Memory size988.0 B
Minimum2015-08-07 00:00:00
Maximum2015-09-07 00:00:00
2023-12-12T23:52:00.855114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:52:00.967744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

건축신고최초접수일
Categorical

Distinct34
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
2015-08-06
9 
2015-08-17
8 
2015-08-12
 
7
2015-07-27
 
7
2015-07-17
 
6
Other values (29)
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)9.3%

Sample

1st row2015-08-18
2nd row2015-08-21
3rd row2015-08-07
4th row2015-08-27
5th row2015-06-16

Common Values

ValueCountFrequency (%)
2015-08-06 9
 
8.4%
2015-08-17 8
 
7.5%
2015-08-12 7
 
6.5%
2015-07-27 7
 
6.5%
2015-07-17 6
 
5.6%
2015-07-30 6
 
5.6%
2015-08-11 5
 
4.7%
2015-08-10 5
 
4.7%
2015-07-24 4
 
3.7%
2015-08-07 4
 
3.7%
Other values (24) 46
43.0%

Length

2023-12-12T23:52:01.073460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-06 9
 
8.4%
2015-08-17 8
 
7.5%
2015-08-12 7
 
6.5%
2015-07-27 7
 
6.5%
2015-07-17 6
 
5.6%
2015-07-30 6
 
5.6%
2015-08-11 5
 
4.7%
2015-08-10 5
 
4.7%
2015-07-28 4
 
3.7%
2015-07-20 4
 
3.7%
Other values (24) 46
43.0%

최대지상층수
Real number (ℝ)

Distinct7
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5327103
Minimum0
Maximum12
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:01.172171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5191716
Coefficient of variation (CV)0.99116681
Kurtosis34.60762
Mean1.5327103
Median Absolute Deviation (MAD)0
Skewness5.5220267
Sum164
Variance2.3078822
MonotonicityNot monotonic
2023-12-12T23:52:01.298195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 74
69.2%
2 24
 
22.4%
3 5
 
4.7%
0 1
 
0.9%
11 1
 
0.9%
4 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
0 1
 
0.9%
1 74
69.2%
2 24
 
22.4%
3 5
 
4.7%
4 1
 
0.9%
11 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
12 1
 
0.9%
11 1
 
0.9%
4 1
 
0.9%
3 5
 
4.7%
2 24
 
22.4%
1 74
69.2%
0 1
 
0.9%

최대지하층수
Categorical

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
0
68 
<NA>
35 
1
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.9813084
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 68
63.6%
<NA> 35
32.7%
1 3
 
2.8%
3 1
 
0.9%

Length

2023-12-12T23:52:01.449498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:01.609982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 68
63.6%
na 35
32.7%
1 3
 
2.8%
3 1
 
0.9%

최고높이(m)
Real number (ℝ)

Distinct75
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0494579
Minimum0
Maximum61.7
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:01.727966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.371
Q15.2585
median7.55
Q38.6
95-th percentile12.945
Maximum61.7
Range61.7
Interquartile range (IQR)3.3415

Descriptive statistics

Standard deviation7.4384148
Coefficient of variation (CV)0.92408891
Kurtosis38.395038
Mean8.0494579
Median Absolute Deviation (MAD)1.45
Skewness5.8498878
Sum861.292
Variance55.330015
MonotonicityNot monotonic
2023-12-12T23:52:01.929399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 7
 
6.5%
8.7 6
 
5.6%
4.3 4
 
3.7%
9.2 3
 
2.8%
4.0 3
 
2.8%
4.75 2
 
1.9%
7.6 2
 
1.9%
8.0 2
 
1.9%
8.3 2
 
1.9%
6.1 2
 
1.9%
Other values (65) 74
69.2%
ValueCountFrequency (%)
0.0 1
 
0.9%
2.5 2
1.9%
2.6 1
 
0.9%
3.05 1
 
0.9%
3.35 1
 
0.9%
3.42 1
 
0.9%
3.6 1
 
0.9%
3.7 2
1.9%
4.0 3
2.8%
4.1 1
 
0.9%
ValueCountFrequency (%)
61.7 1
0.9%
53.84 1
0.9%
20.2 1
0.9%
14.75 1
0.9%
13.7 1
0.9%
13.35 1
0.9%
12.0 1
0.9%
11.4 1
0.9%
10.2 1
0.9%
9.65 1
0.9%

동수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7663551
Minimum0
Maximum30
Zeros6
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:02.112783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11
median1
Q32
95-th percentile5
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9955295
Coefficient of variation (CV)1.6958818
Kurtosis75.875615
Mean1.7663551
Median Absolute Deviation (MAD)0
Skewness8.146397
Sum189
Variance8.973197
MonotonicityNot monotonic
2023-12-12T23:52:02.286810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 69
64.5%
2 18
 
16.8%
0 6
 
5.6%
3 6
 
5.6%
5 5
 
4.7%
4 1
 
0.9%
7 1
 
0.9%
30 1
 
0.9%
ValueCountFrequency (%)
0 6
 
5.6%
1 69
64.5%
2 18
 
16.8%
3 6
 
5.6%
4 1
 
0.9%
5 5
 
4.7%
7 1
 
0.9%
30 1
 
0.9%
ValueCountFrequency (%)
30 1
 
0.9%
7 1
 
0.9%
5 5
 
4.7%
4 1
 
0.9%
3 6
 
5.6%
2 18
 
16.8%
1 69
64.5%
0 6
 
5.6%

승강기합
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
97 
0
 
8
3
 
2

Length

Max length4
Median length4
Mean length3.7196262
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
90.7%
0 8
 
7.5%
3 2
 
1.9%

Length

2023-12-12T23:52:02.459341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:02.596036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
90.7%
0 8
 
7.5%
3 2
 
1.9%

비상승강기합
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
106 
1
 
1

Length

Max length4
Median length4
Mean length3.9719626
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
99.1%
1 1
 
0.9%

Length

2023-12-12T23:52:02.720391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:02.864619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
99.1%
1 1
 
0.9%

하수처리시설명
Categorical

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
기타오수처리시설
70 
하수종말처리장연결
17 
<NA>
 
7
부패탱크방법
 
4
접촉폭기방법
 
4
Other values (3)
 
5

Length

Max length13
Median length8
Mean length7.8317757
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
기타오수처리시설 70
65.4%
하수종말처리장연결 17
 
15.9%
<NA> 7
 
6.5%
부패탱크방법 4
 
3.7%
접촉폭기방법 4
 
3.7%
혐기및호기성미생물조정방법 2
 
1.9%
기타단독정화조 2
 
1.9%
현수미생물접촉방법 1
 
0.9%

Length

2023-12-12T23:52:03.022703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:03.199188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타오수처리시설 70
65.4%
하수종말처리장연결 17
 
15.9%
na 7
 
6.5%
부패탱크방법 4
 
3.7%
접촉폭기방법 4
 
3.7%
혐기및호기성미생물조정방법 2
 
1.9%
기타단독정화조 2
 
1.9%
현수미생물접촉방법 1
 
0.9%

하수처리시설용량(㎥)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)24.4%
Missing25
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean8.8021951
Minimum1
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:03.386963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q35
95-th percentile25.8985
Maximum260
Range259
Interquartile range (IQR)3

Descriptive statistics

Standard deviation29.091525
Coefficient of variation (CV)3.3050307
Kurtosis70.827048
Mean8.8021951
Median Absolute Deviation (MAD)1
Skewness8.173894
Sum721.78
Variance846.31685
MonotonicityNot monotonic
2023-12-12T23:52:03.543945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2.0 31
29.0%
3.0 18
16.8%
4.0 8
 
7.5%
5.0 4
 
3.7%
6.0 3
 
2.8%
1.0 2
 
1.9%
12.0 2
 
1.9%
10.0 2
 
1.9%
34.0 1
 
0.9%
20.0 1
 
0.9%
Other values (10) 10
 
9.3%
(Missing) 25
23.4%
ValueCountFrequency (%)
1.0 2
 
1.9%
1.36 1
 
0.9%
2.0 31
29.0%
3.0 18
16.8%
4.0 8
 
7.5%
5.0 4
 
3.7%
6.0 3
 
2.8%
7.45 1
 
0.9%
8.0 1
 
0.9%
10.0 2
 
1.9%
ValueCountFrequency (%)
260.0 1
0.9%
40.0 1
0.9%
34.0 1
0.9%
30.0 1
0.9%
26.0 1
0.9%
23.97 1
0.9%
21.0 1
0.9%
20.0 1
0.9%
18.0 1
0.9%
12.0 2
1.9%

주용도
Categorical

Distinct9
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
단독주택
39 
제2종근린생활시설
33 
제1종근린생활시설
14 
공장
10 
자동차관련시설
4 
Other values (4)
7 

Length

Max length9
Median length8
Mean length6.2523364
Min length2

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 39
36.4%
제2종근린생활시설 33
30.8%
제1종근린생활시설 14
 
13.1%
공장 10
 
9.3%
자동차관련시설 4
 
3.7%
동.식물관련시설 3
 
2.8%
창고시설 2
 
1.9%
관광휴게시설 1
 
0.9%
운수시설 1
 
0.9%

Length

2023-12-12T23:52:03.730711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:03.896247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 39
36.4%
제2종근린생활시설 33
30.8%
제1종근린생활시설 14
 
13.1%
공장 10
 
9.3%
자동차관련시설 4
 
3.7%
동.식물관련시설 3
 
2.8%
창고시설 2
 
1.9%
관광휴게시설 1
 
0.9%
운수시설 1
 
0.9%

부속용도
Categorical

Distinct32
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
42 
제조업소
15 
소매점
10 
단독주택
7 
일반음식점
 
4
Other values (27)
29 

Length

Max length27
Median length4
Mean length5.0934579
Min length2

Unique

Unique25 ?
Unique (%)23.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
39.3%
제조업소 15
 
14.0%
소매점 10
 
9.3%
단독주택 7
 
6.5%
일반음식점 4
 
3.7%
사무소 2
 
1.9%
다가구주택 2
 
1.9%
공장 1
 
0.9%
1종근린생활시설(소매점) 1
 
0.9%
1가구 1
 
0.9%
Other values (22) 22
20.6%

Length

2023-12-12T23:52:04.091148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 42
38.2%
제조업소 15
 
13.6%
소매점 10
 
9.1%
단독주택 7
 
6.4%
일반음식점 4
 
3.6%
다가구주택 3
 
2.7%
사무소 2
 
1.8%
축사 2
 
1.8%
노인복지시설 1
 
0.9%
일반음식점,사무소 1
 
0.9%
Other values (23) 23
20.9%

용도지역
Categorical

Distinct12
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size988.0 B
계획관리지역
57 
자연녹지지역
19 
생산관리지역
8 
농림지역
6 
제1종일반주거지역
 
5
Other values (7)
12 

Length

Max length9
Median length6
Mean length5.9813084
Min length4

Unique

Unique4 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
계획관리지역 57
53.3%
자연녹지지역 19
 
17.8%
생산관리지역 8
 
7.5%
농림지역 6
 
5.6%
제1종일반주거지역 5
 
4.7%
<NA> 4
 
3.7%
생산녹지지역 2
 
1.9%
보전관리지역 2
 
1.9%
일반공업지역 1
 
0.9%
일반상업지역 1
 
0.9%
Other values (2) 2
 
1.9%

Length

2023-12-12T23:52:04.255550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계획관리지역 57
53.3%
자연녹지지역 19
 
17.8%
생산관리지역 8
 
7.5%
농림지역 6
 
5.6%
제1종일반주거지역 5
 
4.7%
na 4
 
3.7%
생산녹지지역 2
 
1.9%
보전관리지역 2
 
1.9%
일반공업지역 1
 
0.9%
일반상업지역 1
 
0.9%
Other values (2) 2
 
1.9%

용도지구
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
96 
자연취락지구
 
9
비행안전제6구역(전술)
 
1
주거개발진흥지구
 
1

Length

Max length12
Median length4
Mean length4.2803738
Min length4

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
89.7%
자연취락지구 9
 
8.4%
비행안전제6구역(전술) 1
 
0.9%
주거개발진흥지구 1
 
0.9%

Length

2023-12-12T23:52:04.414378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:04.582763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
89.7%
자연취락지구 9
 
8.4%
비행안전제6구역(전술 1
 
0.9%
주거개발진흥지구 1
 
0.9%

용도구역
Categorical

IMBALANCE 

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
92 
제1종지구단위계획구역
 
6
농업진흥구역
 
2
개발제한구역
 
2
전술항공작전기지의비행안전제5구역
 
2
Other values (3)
 
3

Length

Max length17
Median length4
Mean length4.8130841
Min length4

Unique

Unique3 ?
Unique (%)2.8%

Sample

1st row농업진흥구역
2nd row<NA>
3rd row제1종지구단위계획구역
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 92
86.0%
제1종지구단위계획구역 6
 
5.6%
농업진흥구역 2
 
1.9%
개발제한구역 2
 
1.9%
전술항공작전기지의비행안전제5구역 2
 
1.9%
지구단위계획구역 1
 
0.9%
접도구역 1
 
0.9%
제2종지구단위계획구역 1
 
0.9%

Length

2023-12-12T23:52:04.728552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:04.873601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
86.0%
제1종지구단위계획구역 6
 
5.6%
농업진흥구역 2
 
1.9%
개발제한구역 2
 
1.9%
전술항공작전기지의비행안전제5구역 2
 
1.9%
지구단위계획구역 1
 
0.9%
접도구역 1
 
0.9%
제2종지구단위계획구역 1
 
0.9%

자주식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)66.7%
Missing98
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean68.777778
Minimum1
Maximum437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:05.016661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q319
95-th percentile322.2
Maximum437
Range436
Interquartile range (IQR)18

Descriptive statistics

Standard deviation146.32735
Coefficient of variation (CV)2.1275383
Kurtosis6.2676486
Mean68.777778
Median Absolute Deviation (MAD)2
Skewness2.4910944
Sum619
Variance21411.694
MonotonicityNot monotonic
2023-12-12T23:52:05.155626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3
 
2.8%
3 2
 
1.9%
437 1
 
0.9%
4 1
 
0.9%
150 1
 
0.9%
19 1
 
0.9%
(Missing) 98
91.6%
ValueCountFrequency (%)
1 3
2.8%
3 2
1.9%
4 1
 
0.9%
19 1
 
0.9%
150 1
 
0.9%
437 1
 
0.9%
ValueCountFrequency (%)
437 1
 
0.9%
150 1
 
0.9%
19 1
 
0.9%
4 1
 
0.9%
3 2
1.9%
1 3
2.8%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)14.9%
Missing20
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean4.0574713
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:05.305260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8.7
Maximum95
Range94
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.700311
Coefficient of variation (CV)2.6371872
Kurtosis62.450627
Mean4.0574713
Median Absolute Deviation (MAD)1
Skewness7.5233107
Sum353
Variance114.49666
MonotonicityNot monotonic
2023-12-12T23:52:05.406042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 34
31.8%
2 28
26.2%
4 7
 
6.5%
3 4
 
3.7%
5 4
 
3.7%
6 2
 
1.9%
8 2
 
1.9%
25 1
 
0.9%
28 1
 
0.9%
11 1
 
0.9%
Other values (3) 3
 
2.8%
(Missing) 20
18.7%
ValueCountFrequency (%)
1 34
31.8%
2 28
26.2%
3 4
 
3.7%
4 7
 
6.5%
5 4
 
3.7%
6 2
 
1.9%
7 1
 
0.9%
8 2
 
1.9%
9 1
 
0.9%
11 1
 
0.9%
ValueCountFrequency (%)
95 1
 
0.9%
28 1
 
0.9%
25 1
 
0.9%
11 1
 
0.9%
9 1
 
0.9%
8 2
 
1.9%
7 1
 
0.9%
6 2
 
1.9%
5 4
3.7%
4 7
6.5%

기계식옥내주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

기계식옥외주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

인근자주식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

인근기계식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

총주차대수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)16.7%
Missing11
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean10.125
Minimum1
Maximum437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:05.523189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile20.5
Maximum437
Range436
Interquartile range (IQR)3

Descriptive statistics

Standard deviation47.606335
Coefficient of variation (CV)4.7018603
Kurtosis70.338742
Mean10.125
Median Absolute Deviation (MAD)1
Skewness8.0802568
Sum972
Variance2266.3632
MonotonicityNot monotonic
2023-12-12T23:52:05.649137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 37
34.6%
2 28
26.2%
4 8
 
7.5%
3 6
 
5.6%
5 4
 
3.7%
6 2
 
1.9%
8 2
 
1.9%
28 1
 
0.9%
25 1
 
0.9%
437 1
 
0.9%
Other values (6) 6
 
5.6%
(Missing) 11
 
10.3%
ValueCountFrequency (%)
1 37
34.6%
2 28
26.2%
3 6
 
5.6%
4 8
 
7.5%
5 4
 
3.7%
6 2
 
1.9%
7 1
 
0.9%
8 2
 
1.9%
9 1
 
0.9%
11 1
 
0.9%
ValueCountFrequency (%)
437 1
0.9%
150 1
0.9%
95 1
0.9%
28 1
0.9%
25 1
0.9%
19 1
0.9%
11 1
0.9%
9 1
0.9%
8 2
1.9%
7 1
0.9%

총주차장면적(㎡)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)18.8%
Missing11
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean250.83656
Minimum0
Maximum17829.45
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:05.772771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.5
Q111.5
median23
Q346
95-th percentile237.25
Maximum17829.45
Range17829.45
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation1825.3972
Coefficient of variation (CV)7.2772372
Kurtosis93.340052
Mean250.83656
Median Absolute Deviation (MAD)11.5
Skewness9.6060198
Sum24080.31
Variance3332074.8
MonotonicityNot monotonic
2023-12-12T23:52:05.895694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11.5 36
33.6%
23.0 27
25.2%
46.0 8
 
7.5%
34.5 6
 
5.6%
57.5 4
 
3.7%
69.0 2
 
1.9%
92.0 2
 
1.9%
332.0 1
 
0.9%
0.0 1
 
0.9%
287.5 1
 
0.9%
Other values (8) 8
 
7.5%
(Missing) 11
 
10.3%
ValueCountFrequency (%)
0.0 1
 
0.9%
11.5 36
33.6%
11.96 1
 
0.9%
23.0 27
25.2%
34.5 6
 
5.6%
46.0 8
 
7.5%
57.5 4
 
3.7%
69.0 2
 
1.9%
92.0 2
 
1.9%
103.5 1
 
0.9%
ValueCountFrequency (%)
17829.45 1
0.9%
1755.0 1
0.9%
1117.5 1
0.9%
332.0 1
0.9%
287.5 1
0.9%
220.5 1
0.9%
134.4 1
0.9%
126.5 1
0.9%
103.5 1
0.9%
92.0 2
1.9%

세대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
101 
1
 
6

Length

Max length4
Median length4
Mean length3.8317757
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
94.4%
1 6
 
5.6%

Length

2023-12-12T23:52:06.114169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:06.214067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
94.4%
1 6
 
5.6%

호수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
106 
1
 
1

Length

Max length4
Median length4
Mean length3.9719626
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
99.1%
1 1
 
0.9%

Length

2023-12-12T23:52:06.327307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:06.425389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
99.1%
1 1
 
0.9%

가구수
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
74 
1
29 
2
 
1
6
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.0747664
Min length1

Unique

Unique4 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
69.2%
1 29
 
27.1%
2 1
 
0.9%
6 1
 
0.9%
3 1
 
0.9%
7 1
 
0.9%

Length

2023-12-12T23:52:06.536548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:06.664261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
69.2%
1 29
 
27.1%
2 1
 
0.9%
6 1
 
0.9%
3 1
 
0.9%
7 1
 
0.9%

주건축물수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)6.9%
Missing6
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean1.8019802
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T23:52:06.771165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum30
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0233088
Coefficient of variation (CV)1.6777703
Kurtosis77.404667
Mean1.8019802
Median Absolute Deviation (MAD)0
Skewness8.3625929
Sum182
Variance9.140396
MonotonicityNot monotonic
2023-12-12T23:52:06.875362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 70
65.4%
2 20
 
18.7%
3 4
 
3.7%
5 3
 
2.8%
4 2
 
1.9%
7 1
 
0.9%
30 1
 
0.9%
(Missing) 6
 
5.6%
ValueCountFrequency (%)
1 70
65.4%
2 20
 
18.7%
3 4
 
3.7%
4 2
 
1.9%
5 3
 
2.8%
7 1
 
0.9%
30 1
 
0.9%
ValueCountFrequency (%)
30 1
 
0.9%
7 1
 
0.9%
5 3
 
2.8%
4 2
 
1.9%
3 4
 
3.7%
2 20
 
18.7%
1 70
65.4%

부속건축물수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
101 
1
 
5
2
 
1

Length

Max length4
Median length4
Mean length3.8317757
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
94.4%
1 5
 
4.7%
2 1
 
0.9%

Length

2023-12-12T23:52:07.007146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:07.151204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
94.4%
1 5
 
4.7%
2 1
 
0.9%

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 남양읍 남양리 1047답629.0176.14165.0<NA>28.026.23일반철골구조<NA><NA><NA>2015-08-31<NA><NA><NA><NA><NA><NA><NA><NA>2015-08-18108.21<NA><NA>기타오수처리시설2.0창고시설농가창고농림지역<NA>농업진흥구역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
1신축경기도 화성시 남양읍 활초리 520-5임야496.0103.14162.59<NA>20.794432.7802경량철골구조<NA><NA><NA>2015-08-31<NA>2015-09-092015-09-11<NA><NA><NA><NA><NA>2015-08-21207.50<NA><NA>기타오수처리시설<NA>단독주택<NA>계획관리지역<NA><NA><NA>1<NA><NA><NA><NA>111.51<NA><NA><NA><NA>
2증축경기도 화성시 동탄면 방교리 835-1공장용지3418.71924.874517.366.456.3132.14일반철골구조<NA><NA><NA>2015-08-28<NA><NA><NA><NA><NA><NA><NA><NA>2015-08-073<NA>13.351<NA><NA>하수종말처리장연결<NA>공장<NA>일반공업지역<NA>제1종지구단위계획구역<NA>25<NA><NA><NA><NA>25287.5<NA><NA><NA>1<NA>
3용도변경경기도 화성시 봉담읍 동화리 484-1대953.0415.05415.05<NA>43.5543.55<NA><NA><NA><NA>2015-08-28<NA><NA><NA><NA><NA><NA><NA><NA>2015-08-271<NA>0.010<NA>하수종말처리장연결<NA>제2종근린생활시설일반음식점자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
4신축경기도 화성시 정남면 관항리 190-6 외1필지임야2699.099.233.6<NA>3.681.24경량철골구조<NA><NA><NA>2015-08-28<NA><NA><NA><NA><NA><NA><NA><NA>2015-06-16105.371<NA><NA>부패탱크방법<NA>제1종근린생활시설<NA>자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
5신축경기도 화성시 정남면 문학리 140-10 외1필지대551.0198.0198.0<NA>35.934735.9347일반철골구조<NA><NA><NA>2015-08-28<NA>2015-09-082015-09-14<NA><NA><NA><NA><NA>2015-08-19109.01<NA><NA>기타오수처리시설3.0제2종근린생활시설제조업소계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
6신축경기도 화성시 정남면 문학리 140-10 외1필지대1002.0396.0396.0<NA>39.52139.521일반철골구조<NA><NA><NA>2015-08-28<NA>2015-09-082015-09-14<NA><NA><NA><NA><NA>2015-08-19109.02<NA><NA>기타오수처리시설3.0제2종근린생활시설제조업소계획관리지역<NA><NA><NA>3<NA><NA><NA><NA>334.5<NA><NA><NA>2<NA>
7신축경기도 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>
8신축경기도 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>
9신축경기도 화성시 마도면 청원리 576-5 외1필지답5654.032.732.7<NA>0.580.58기타강구조<NA><NA><NA>2015-08-28<NA>2015-09-082015-09-09<NA><NA><NA><NA><NA>2015-07-31103.421<NA><NA><NA><NA>동.식물관련시설축사 (관리사)농림지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
건축구분대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분신고취소일신고일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축신고최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(㎥)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(㎡)세대수호수가구수주건축물수부속건축물수
97신축경기도 화성시 남양읍 신남리 156답1120.0396.0396.0<NA>35.357135.3571일반철골구조<NA><NA><NA>2015-08-052015-09-09<NA><NA><NA><NA><NA><NA><NA>2015-07-24108.582<NA><NA>기타오수처리시설3.0제2종근린생활시설제조업소계획관리지역<NA><NA>3<NA><NA><NA><NA><NA>334.5<NA><NA><NA>2<NA>
98개축경기도 화성시 팔탄면 기천리 645-1대423.0112.26108.45<NA>26.53920.0213벽돌구조<NA><NA><NA>2015-08-04<NA>2015-08-112015-08-12<NA><NA><NA><NA><NA>2015-07-201<NA>5.01<NA><NA>부패탱크방법<NA>단독주택단독주택계획관리지역자연취락지구<NA><NA>2<NA><NA><NA><NA>223.0<NA><NA>11<NA>
99증축경기도 화성시 서신면 궁평리 689잡종지35206.06582.498354.880.2518.723.73경량철골구조<NA><NA><NA>2015-08-04<NA><NA><NA><NA><NA><NA><NA><NA>2015-07-202<NA>13.730<NA><NA>기타오수처리시설260.0운수시설제2종근린생활시설계획관리지역<NA><NA><NA>95<NA><NA><NA><NA>951117.5<NA><NA><NA>30<NA>
100신축경기도 화성시 향남읍 송곡리 395-5임야444.0174.5174.5<NA>39.339.3일반철골구조<NA><NA><NA>2015-08-04<NA>2015-08-112015-08-13<NA><NA><NA><NA><NA>2015-07-09108.31<NA><NA>기타오수처리시설4.0제2종근린생활시설제조업소계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
101신축경기도 화성시 서신면 매화리 622-8전417.099.4897.86<NA>23.8623.47철근콘크리트구조<NA><NA><NA>2015-08-04<NA><NA><NA><NA><NA><NA><NA><NA>2015-07-27105.71<NA><NA>기타오수처리시설2.0단독주택<NA>계획관리지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA>11<NA>
102신축경기도 화성시 팔탄면 기천리 177-31대495.097.9897.98<NA>19.7919.79벽돌구조<NA><NA><NA>2015-08-04<NA>2015-08-122015-08-13<NA><NA><NA><NA><NA>2015-07-07104.31<NA><NA><NA>3.0단독주택<NA>농림지역<NA><NA><NA>1<NA><NA><NA><NA>111.51<NA><NA>1<NA>
103대수선경기도 화성시 정남면 괘랑리 668-6잡종지429.0189.6189.6<NA>44.244.2일반철골구조<NA><NA><NA>2015-08-03<NA><NA><NA><NA><NA><NA><NA><NA>2015-07-171<NA>7.5520<NA>하수종말처리장연결<NA>제2종근린생활시설<NA>자연녹지지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>2<NA>
104증축경기도 화성시 정남면 보통리 92유지290.0141.0212.8369.4348.6273.39일반철골구조<NA><NA><NA>2015-08-03<NA>2015-08-272015-08-06<NA><NA><NA><NA><NA>2015-07-022<NA>7.610<NA>하수종말처리장연결7.45제2종근린생활시설일반음식점자연녹지지역자연취락지구<NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
105증축경기도 화성시 송산면 쌍정리 1054-4공장용지602.0240.65284.6588.039.9847.28일반철골구조<NA><NA><NA>2015-08-03<NA>2015-08-112015-08-11<NA><NA><NA><NA><NA>2015-07-272<NA>8.02<NA><NA>기타오수처리시설3.0제2종근린생활시설제조업소계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>2<NA>
106신축경기도 화성시 향남읍 하길리 389-20전652.0128.0128.0<NA>19.6319.63일반철골구조<NA><NA><NA>2015-08-03<NA>2015-08-042015-08-08<NA><NA><NA><NA><NA>2015-07-27106.41<NA><NA><NA><NA>창고시설창고(농가창고)자연녹지지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>1<NA>