Overview

Dataset statistics

Number of variables44
Number of observations57
Missing cells505
Missing cells (%)20.1%
Duplicate rows1
Duplicate rows (%)1.8%
Total size in memory21.1 KiB
Average record size in memory378.3 B

Variable types

Categorical17
Text3
Numeric16
DateTime8

Dataset

Description인천광역시 미추홀구 건축허가 현황에 대한 데이터로 건축구분, 면적, 구조, 건축허가일 등의 데이터를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15117501&srcSe=7661IVAWM27C61E190

Alerts

취소구분 has constant value ""Constant
실제착공일 has constant value ""Constant
사용승인일 has constant value ""Constant
(임시)사용승인최초접수일 has constant value ""Constant
Dataset has 1 (1.8%) duplicate rowsDuplicates
건축구분 is highly imbalanced (52.3%)Imbalance
지목 is highly imbalanced (59.5%)Imbalance
증축연면적(제곱미터) is highly imbalanced (81.0%)Imbalance
구조 is highly imbalanced (53.9%)Imbalance
비상승강기합 is highly imbalanced (74.3%)Imbalance
하수처리시설명 is highly imbalanced (59.7%)Imbalance
기계식옥내주차장(대) is highly imbalanced (84.0%)Imbalance
기계식옥외주차장(대) is highly imbalanced (87.3%)Imbalance
가구수 is highly imbalanced (84.0%)Imbalance
주건축물수 is highly imbalanced (67.1%)Imbalance
부속건축물수 is highly imbalanced (72.1%)Imbalance
착공처리일 has 47 (82.5%) missing valuesMissing
착공예정일 has 47 (82.5%) missing valuesMissing
실제착공일 has 56 (98.2%) missing valuesMissing
사용승인일 has 56 (98.2%) missing valuesMissing
준공예정일(사용승인예정일) has 47 (82.5%) missing valuesMissing
건축허가최초접수번호 has 1 (1.8%) missing valuesMissing
건축허가최초접수일 has 1 (1.8%) missing valuesMissing
(임시)사용승인최초접수일 has 56 (98.2%) missing valuesMissing
승강기합 has 6 (10.5%) missing valuesMissing
하수처리시설용량(세제곱미터) has 43 (75.4%) missing valuesMissing
부속용도 has 8 (14.0%) missing valuesMissing
자주식옥내주차장(대) has 25 (43.9%) missing valuesMissing
자주식옥외주차장(대) has 29 (50.9%) missing valuesMissing
세대수 has 37 (64.9%) missing valuesMissing
호수 has 46 (80.7%) missing valuesMissing
건축면적(제곱미터) has 1 (1.8%) zerosZeros
건폐율(퍼센트) has 1 (1.8%) zerosZeros
최고높이(미터) has 1 (1.8%) zerosZeros
승강기합 has 3 (5.3%) zerosZeros
총주차대수 has 4 (7.0%) zerosZeros
총주차장면적(제곱미터) has 12 (21.1%) zerosZeros

Reproduction

Analysis started2024-03-18 03:35:01.242640
Analysis finished2024-03-18 03:35:02.031111
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
신축
45 
대수선
6 
증축
 
3
용도변경
 
2
개축
 
1

Length

Max length4
Median length2
Mean length2.1754386
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
신축 45
78.9%
대수선 6
 
10.5%
증축 3
 
5.3%
용도변경 2
 
3.5%
개축 1
 
1.8%

Length

2024-03-18T12:35:02.103431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:02.200199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 45
78.9%
대수선 6
 
10.5%
증축 3
 
5.3%
용도변경 2
 
3.5%
개축 1
 
1.8%

대지위치
Text

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-03-18T12:35:02.383011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length23.561404
Min length17

Characters and Unicode

Total characters1343
Distinct characters44
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

Unique55 ?
Unique (%)96.5%

Sample

1st row인천광역시 미추홀구 주안동 18-113 외1필지
2nd row인천광역시 미추홀구 숭의동 3-57 외1필지
3rd row인천광역시 미추홀구 관교동 15
4th row인천광역시 미추홀구 용현동 204-21 외1필지
5th row인천광역시 미추홀구 주안동 197-24
ValueCountFrequency (%)
인천광역시 57
21.7%
미추홀구 57
21.7%
주안동 23
 
8.7%
외1필지 16
 
6.1%
용현동 13
 
4.9%
도화동 9
 
3.4%
외2필지 7
 
2.7%
숭의동 7
 
2.7%
외4필지 3
 
1.1%
문학동 2
 
0.8%
Other values (66) 69
26.2%
2024-03-18T12:35:02.710234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
15.3%
1 74
 
5.5%
구 60
 
4.5%
역 59
 
4.4%
시 58
 
4.3%
인 57
 
4.2%
광 57
 
4.2%
미 57
 
4.2%
추 57
 
4.2%
홀 57
 
4.2%
Other values (34) 601
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
59.4%
Decimal Number 288
 
21.4%
Space Separator 206
 
15.3%
Dash Punctuation 51
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
 
7.5%
역 59
 
7.4%
시 58
 
7.3%
인 57
 
7.1%
광 57
 
7.1%
미 57
 
7.1%
추 57
 
7.1%
홀 57
 
7.1%
천 57
 
7.1%
동 57
 
7.1%
Other values (22) 222
27.8%
Decimal Number
ValueCountFrequency (%)
1 74
25.7%
3 30
10.4%
5 30
10.4%
6 29
 
10.1%
8 28
 
9.7%
2 28
 
9.7%
4 23
 
8.0%
7 20
 
6.9%
9 14
 
4.9%
0 12
 
4.2%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
59.4%
Common 545
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
 
7.5%
역 59
 
7.4%
시 58
 
7.3%
인 57
 
7.1%
광 57
 
7.1%
미 57
 
7.1%
추 57
 
7.1%
홀 57
 
7.1%
천 57
 
7.1%
동 57
 
7.1%
Other values (22) 222
27.8%
Common
ValueCountFrequency (%)
206
37.8%
1 74
 
13.6%
- 51
 
9.4%
3 30
 
5.5%
5 30
 
5.5%
6 29
 
5.3%
8 28
 
5.1%
2 28
 
5.1%
4 23
 
4.2%
7 20
 
3.7%
Other values (2) 26
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
59.4%
ASCII 545
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
37.8%
1 74
 
13.6%
- 51
 
9.4%
3 30
 
5.5%
5 30
 
5.5%
6 29
 
5.3%
8 28
 
5.1%
2 28
 
5.1%
4 23
 
4.2%
7 20
 
3.7%
Other values (2) 26
 
4.8%
Hangul
ValueCountFrequency (%)
구 60
 
7.5%
역 59
 
7.4%
시 58
 
7.3%
인 57
 
7.1%
광 57
 
7.1%
미 57
 
7.1%
추 57
 
7.1%
홀 57
 
7.1%
천 57
 
7.1%
동 57
 
7.1%
Other values (22) 222
27.8%

지목
Categorical

IMBALANCE 

Distinct7
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
대
46 
공장용지
5 
<NA>
 
2
공원
 
1
종교용지
 
1
Other values (2)
 
2

Length

Max length5
Median length1
Mean length1.5438596
Min length1

Unique

Unique4 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 46
80.7%
공장용지 5
 
8.8%
<NA> 2
 
3.5%
공원 1
 
1.8%
종교용지 1
 
1.8%
주유소용지 1
 
1.8%
주차장 1
 
1.8%

Length

2024-03-18T12:35:02.824910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:02.918462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 46
80.7%
공장용지 5
 
8.8%
na 2
 
3.5%
공원 1
 
1.8%
종교용지 1
 
1.8%
주유소용지 1
 
1.8%
주차장 1
 
1.8%

대지면적(제곱미터)
Real number (ℝ)

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11377.576
Minimum145.7
Maximum432034.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:03.016514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145.7
5-th percentile156.9
Q1293.2
median491.6
Q31282.4
95-th percentile23660.98
Maximum432034.6
Range431888.9
Interquartile range (IQR)989.2

Descriptive statistics

Standard deviation57963.356
Coefficient of variation (CV)5.0945258
Kurtosis52.008131
Mean11377.576
Median Absolute Deviation (MAD)246
Skewness7.0985919
Sum648521.85
Variance3.3597507 × 109
MonotonicityNot monotonic
2024-03-18T12:35:03.133617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256.8 2
 
3.5%
491.6 1
 
1.8%
409.2 1
 
1.8%
17015.9 1
 
1.8%
274.0 1
 
1.8%
241.0 1
 
1.8%
315.6 1
 
1.8%
151.3 1
 
1.8%
194.6 1
 
1.8%
19037.3 1
 
1.8%
Other values (46) 46
80.7%
ValueCountFrequency (%)
145.7 1
1.8%
151.3 1
1.8%
155.3 1
1.8%
157.3 1
1.8%
190.8 1
1.8%
194.6 1
1.8%
222.5 1
1.8%
241.0 1
1.8%
245.6 1
1.8%
256.8 2
3.5%
ValueCountFrequency (%)
432034.6 1
1.8%
77815.8 1
1.8%
42155.7 1
1.8%
19037.3 1
1.8%
17015.9 1
1.8%
16240.7 1
1.8%
7640.0 1
1.8%
5569.0 1
1.8%
2396.8 1
1.8%
2144.0 1
1.8%

건축면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2703.2122
Minimum0
Maximum71709.62
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:03.238982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile91.498
Q1162.9
median275.12
Q3589.54
95-th percentile12279.396
Maximum71709.62
Range71709.62
Interquartile range (IQR)426.64

Descriptive statistics

Standard deviation10081.33
Coefficient of variation (CV)3.7293892
Kurtosis40.761775
Mean2703.2122
Median Absolute Deviation (MAD)131.76
Skewness6.0949582
Sum154083.1
Variance1.0163322 × 108
MonotonicityNot monotonic
2024-03-18T12:35:03.355663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.36 2
 
3.5%
283.6 1
 
1.8%
217.24 1
 
1.8%
3268.26 1
 
1.8%
162.9 1
 
1.8%
131.74 1
 
1.8%
188.33 1
 
1.8%
89.49 1
 
1.8%
150.03 1
 
1.8%
15207.78 1
 
1.8%
Other values (46) 46
80.7%
ValueCountFrequency (%)
0.0 1
1.8%
63.65 1
1.8%
89.49 1
1.8%
92.0 1
1.8%
93.14 1
1.8%
97.5 1
1.8%
100.88 1
1.8%
116.94 1
1.8%
131.74 1
1.8%
143.36 2
3.5%
ValueCountFrequency (%)
71709.62 1
1.8%
21106.21 1
1.8%
15207.78 1
1.8%
11547.3 1
1.8%
11342.61 1
1.8%
3268.26 1
1.8%
1795.1 1
1.8%
1791.9803 1
1.8%
1532.94 1
1.8%
1395.27 1
1.8%

연면적(제곱미터)
Real number (ℝ)

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13981.052
Minimum149.36
Maximum278499.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:03.482762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum149.36
5-th percentile235.248
Q1659.64
median1160.18
Q32843.58
95-th percentile65488.189
Maximum278499.37
Range278350.01
Interquartile range (IQR)2183.94

Descriptive statistics

Standard deviation44416.335
Coefficient of variation (CV)3.176895
Kurtosis24.585037
Mean13981.052
Median Absolute Deviation (MAD)723.37
Skewness4.7311539
Sum796919.99
Variance1.9728108 × 109
MonotonicityNot monotonic
2024-03-18T12:35:03.587613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
245.31 2
 
3.5%
1024.62 1
 
1.8%
659.64 1
 
1.8%
20831.13 1
 
1.8%
532.59 1
 
1.8%
436.81 1
 
1.8%
659.95 1
 
1.8%
409.33 1
 
1.8%
526.06 1
 
1.8%
99809.51 1
 
1.8%
Other values (46) 46
80.7%
ValueCountFrequency (%)
149.36 1
1.8%
168.86 1
1.8%
195.0 1
1.8%
245.31 2
3.5%
341.46 1
1.8%
358.4 1
1.8%
382.16 1
1.8%
409.33 1
1.8%
436.81 1
1.8%
470.18 1
1.8%
ValueCountFrequency (%)
278499.37 1
1.8%
161815.52 1
1.8%
99809.51 1
1.8%
56907.8589 1
1.8%
48618.5 1
1.8%
33728.33 1
1.8%
21681.42 1
1.8%
20831.13 1
1.8%
9997.5226 1
1.8%
6835.3939 1
1.8%

증축연면적(제곱미터)
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
54 
144.23
 
1
3432.93
 
1
3556.96
 
1

Length

Max length7
Median length4
Mean length4.1403509
Min length4

Unique

Unique3 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
94.7%
144.23 1
 
1.8%
3432.93 1
 
1.8%
3556.96 1
 
1.8%

Length

2024-03-18T12:35:03.723966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:03.831807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
94.7%
144.23 1
 
1.8%
3432.93 1
 
1.8%
3556.96 1
 
1.8%

건폐율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.705093
Minimum0
Maximum80.29
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:03.931165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.6853
Q150.68
median58.97
Q367.45
95-th percentile79.03282
Maximum80.29
Range80.29
Interquartile range (IQR)16.77

Descriptive statistics

Standard deviation17.779637
Coefficient of variation (CV)0.31917435
Kurtosis1.8625828
Mean55.705093
Median Absolute Deviation (MAD)8.3914
Skewness-1.2329126
Sum3175.1903
Variance316.11548
MonotonicityNot monotonic
2024-03-18T12:35:04.047544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.96 2
 
3.5%
59.98 2
 
3.5%
55.8255 2
 
3.5%
57.69 1
 
1.8%
69.47 1
 
1.8%
19.2071 1
 
1.8%
59.45 1
 
1.8%
54.6639 1
 
1.8%
59.67 1
 
1.8%
59.15 1
 
1.8%
Other values (44) 44
77.2%
ValueCountFrequency (%)
0.0 1
1.8%
3.85 1
1.8%
16.5981 1
1.8%
19.2071 1
1.8%
27.12 1
1.8%
27.392 1
1.8%
32.1778 1
1.8%
35.61 1
1.8%
44.64 1
1.8%
44.9971 1
1.8%
ValueCountFrequency (%)
80.29 1
1.8%
79.94 1
1.8%
79.8841 1
1.8%
78.82 1
1.8%
78.42 1
1.8%
77.1 1
1.8%
74.99 1
1.8%
74.9 1
1.8%
74.58 1
1.8%
71.5 1
1.8%

용적률(퍼센트)
Real number (ℝ)

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.50925
Minimum10.2215
Maximum912.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:04.169898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.2215
5-th percentile56.866
Q1147.71
median194.94
Q3260.19
95-th percentile715.858
Maximum912.58
Range902.3585
Interquartile range (IQR)112.48

Descriptive statistics

Standard deviation189.54399
Coefficient of variation (CV)0.78159488
Kurtosis3.4377243
Mean242.50925
Median Absolute Deviation (MAD)61.1
Skewness1.8574639
Sum13823.028
Variance35926.925
MonotonicityNot monotonic
2024-03-18T12:35:04.279121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.5257 2
 
3.5%
208.43 1
 
1.8%
161.2 1
 
1.8%
109.7349 1
 
1.8%
194.38 1
 
1.8%
181.249 1
 
1.8%
209.11 1
 
1.8%
249.7 1
 
1.8%
270.33 1
 
1.8%
339.7627 1
 
1.8%
Other values (46) 46
80.7%
ValueCountFrequency (%)
10.2215 1
1.8%
17.51 1
1.8%
30.41 1
1.8%
63.48 1
1.8%
63.7559 1
1.8%
75.244 1
1.8%
78.28 1
1.8%
85.7385 1
1.8%
95.5257 2
3.5%
101.21 1
1.8%
ValueCountFrequency (%)
912.58 1
1.8%
750.56 1
1.8%
745.37 1
1.8%
708.48 1
1.8%
654.3496 1
1.8%
494.09 1
1.8%
436.56 1
1.8%
391.68 1
1.8%
388.02 1
1.8%
356.69 1
1.8%

구조
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
철근콘크리트구조
44 
일반철골구조
7 
철골콘크리트구조
 
3
철골철근콘크리트구조
 
1
벽돌구조
 
1

Length

Max length11
Median length8
Mean length7.7719298
Min length4

Unique

Unique3 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 44
77.2%
일반철골구조 7
 
12.3%
철골콘크리트구조 3
 
5.3%
철골철근콘크리트구조 1
 
1.8%
벽돌구조 1
 
1.8%
프리케스트콘크리트구조 1
 
1.8%

Length

2024-03-18T12:35:04.406212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:04.496764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 44
77.2%
일반철골구조 7
 
12.3%
철골콘크리트구조 3
 
5.3%
철골철근콘크리트구조 1
 
1.8%
벽돌구조 1
 
1.8%
프리케스트콘크리트구조 1
 
1.8%

취소구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
미취소
57 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미취소 57
100.0%

Length

2024-03-18T12:35:04.606045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:04.682771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미취소 57
100.0%

허가일
Date

Distinct42
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2023-01-05 00:00:00
Maximum2023-06-30 00:00:00
2024-03-18T12:35:04.764488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:04.868118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

착공처리일
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing47
Missing (%)82.5%
Memory size588.0 B
Minimum2023-01-31 00:00:00
Maximum2023-05-25 00:00:00
2024-03-18T12:35:04.966426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:05.054946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

착공예정일
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing47
Missing (%)82.5%
Memory size588.0 B
Minimum2023-01-26 00:00:00
Maximum2023-05-22 00:00:00
2024-03-18T12:35:05.147877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:05.232741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

실제착공일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing56
Missing (%)98.2%
Memory size588.0 B
Minimum2023-02-10 00:00:00
Maximum2023-02-10 00:00:00
2024-03-18T12:35:05.307008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:05.605878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

사용승인일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing56
Missing (%)98.2%
Memory size588.0 B
Minimum2023-02-23 00:00:00
Maximum2023-02-23 00:00:00
2024-03-18T12:35:05.672416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:05.745815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

준공예정일(사용승인예정일)
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing47
Missing (%)82.5%
Memory size588.0 B
Minimum2023-02-28 00:00:00
Maximum2024-05-22 00:00:00
2024-03-18T12:35:05.843329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:05.955713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

건축허가최초접수번호
Text

MISSING 

Distinct55
Distinct (%)98.2%
Missing1
Missing (%)1.8%
Memory size588.0 B
2024-03-18T12:35:06.175798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1120
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row2022-3510500-0354431
2nd row2022-3510500-0332335
3rd row2023-3510500-0007856
4th row2022-3510500-0356676
5th row2022-3510500-0353645
ValueCountFrequency (%)
2022-3510500-p386318 2
 
3.6%
2022-3510500-p689329 1
 
1.8%
2022-3510500-0332335 1
 
1.8%
2023-3510500-0005794 1
 
1.8%
2023-3510500-0028073 1
 
1.8%
2023-3510500-0018657 1
 
1.8%
2023-3510500-0050898 1
 
1.8%
2023-3510500-0047990 1
 
1.8%
2023-3510500-0054282 1
 
1.8%
2023-3510500-0057511 1
 
1.8%
Other values (45) 45
80.4%
2024-03-18T12:35:06.479350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 336
30.0%
5 153
13.7%
2 148
13.2%
3 136
12.1%
- 112
 
10.0%
1 90
 
8.0%
6 38
 
3.4%
8 28
 
2.5%
7 28
 
2.5%
9 25
 
2.2%
Other values (2) 26
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1003
89.6%
Dash Punctuation 112
 
10.0%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 336
33.5%
5 153
15.3%
2 148
14.8%
3 136
13.6%
1 90
 
9.0%
6 38
 
3.8%
8 28
 
2.8%
7 28
 
2.8%
9 25
 
2.5%
4 21
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1115
99.6%
Latin 5
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 336
30.1%
5 153
13.7%
2 148
13.3%
3 136
12.2%
- 112
 
10.0%
1 90
 
8.1%
6 38
 
3.4%
8 28
 
2.5%
7 28
 
2.5%
9 25
 
2.2%
Latin
ValueCountFrequency (%)
P 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 336
30.0%
5 153
13.7%
2 148
13.2%
3 136
12.1%
- 112
 
10.0%
1 90
 
8.0%
6 38
 
3.4%
8 28
 
2.5%
7 28
 
2.5%
9 25
 
2.2%
Other values (2) 26
 
2.3%

건축허가최초접수일
Date

MISSING 

Distinct49
Distinct (%)87.5%
Missing1
Missing (%)1.8%
Memory size588.0 B
Minimum2022-06-20 00:00:00
Maximum2023-06-09 00:00:00
2024-03-18T12:35:06.611207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:06.735562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

(임시)사용승인최초접수일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing56
Missing (%)98.2%
Memory size588.0 B
Minimum2023-02-14 00:00:00
Maximum2023-02-14 00:00:00
2024-03-18T12:35:06.823828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:06.893765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

최대지상층수
Real number (ℝ)

Distinct14
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0701754
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:06.966152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile15
Maximum37
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.460441
Coefficient of variation (CV)0.89955242
Kurtosis18.944126
Mean6.0701754
Median Absolute Deviation (MAD)1
Skewness3.9366275
Sum346
Variance29.816416
MonotonicityNot monotonic
2024-03-18T12:35:07.059365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5 24
42.1%
3 9
 
15.8%
4 6
 
10.5%
6 5
 
8.8%
2 3
 
5.3%
10 2
 
3.5%
19 1
 
1.8%
1 1
 
1.8%
37 1
 
1.8%
12 1
 
1.8%
Other values (4) 4
 
7.0%
ValueCountFrequency (%)
1 1
 
1.8%
2 3
 
5.3%
3 9
 
15.8%
4 6
 
10.5%
5 24
42.1%
6 5
 
8.8%
7 1
 
1.8%
9 1
 
1.8%
10 2
 
3.5%
12 1
 
1.8%
ValueCountFrequency (%)
37 1
 
1.8%
20 1
 
1.8%
19 1
 
1.8%
14 1
 
1.8%
12 1
 
1.8%
10 2
 
3.5%
9 1
 
1.8%
7 1
 
1.8%
6 5
 
8.8%
5 24
42.1%

최대지하층수
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
0
30 
1
18 
2
7 
<NA>
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.0526316
Min length1

Unique

Unique2 ?
Unique (%)3.5%

Sample

1st row0
2nd row2
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 30
52.6%
1 18
31.6%
2 7
 
12.3%
<NA> 1
 
1.8%
5 1
 
1.8%

Length

2024-03-18T12:35:07.172936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:07.273203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
52.6%
1 18
31.6%
2 7
 
12.3%
na 1
 
1.8%
5 1
 
1.8%

최고높이(미터)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.035614
Minimum0
Maximum110.26
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:07.388384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.242
Q114.3
median16
Q323.14
95-th percentile62.82
Maximum110.26
Range110.26
Interquartile range (IQR)8.84

Descriptive statistics

Standard deviation18.966446
Coefficient of variation (CV)0.82335319
Kurtosis8.367913
Mean23.035614
Median Absolute Deviation (MAD)3.35
Skewness2.6864075
Sum1313.03
Variance359.72609
MonotonicityNot monotonic
2024-03-18T12:35:07.506882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
14.3 3
 
5.3%
15.7 3
 
5.3%
14.6 2
 
3.5%
9.79 2
 
3.5%
19.6 2
 
3.5%
15.6 2
 
3.5%
16.0 2
 
3.5%
14.2 1
 
1.8%
60.7 1
 
1.8%
15.4 1
 
1.8%
Other values (38) 38
66.7%
ValueCountFrequency (%)
0.0 1
1.8%
8.2 1
1.8%
8.77 1
1.8%
9.36 1
1.8%
9.79 2
3.5%
10.0 1
1.8%
10.7 1
1.8%
11.85 1
1.8%
13.13 1
1.8%
13.7 1
1.8%
ValueCountFrequency (%)
110.26 1
1.8%
74.6 1
1.8%
71.3 1
1.8%
60.7 1
1.8%
59.25 1
1.8%
43.9 1
1.8%
40.2 1
1.8%
37.3 1
1.8%
35.29 1
1.8%
30.9 1
1.8%

동수
Real number (ℝ)

Distinct7
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2631579
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:07.604528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6.8
Maximum25
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4782264
Coefficient of variation (CV)1.9787512
Kurtosis16.956458
Mean2.2631579
Median Absolute Deviation (MAD)0
Skewness4.1735218
Sum129
Variance20.054511
MonotonicityNot monotonic
2024-03-18T12:35:07.719631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 46
80.7%
2 4
 
7.0%
3 3
 
5.3%
4 1
 
1.8%
25 1
 
1.8%
19 1
 
1.8%
18 1
 
1.8%
ValueCountFrequency (%)
1 46
80.7%
2 4
 
7.0%
3 3
 
5.3%
4 1
 
1.8%
18 1
 
1.8%
19 1
 
1.8%
25 1
 
1.8%
ValueCountFrequency (%)
25 1
 
1.8%
19 1
 
1.8%
18 1
 
1.8%
4 1
 
1.8%
3 3
 
5.3%
2 4
 
7.0%
1 46
80.7%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)11.8%
Missing6
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean1.7647059
Minimum0
Maximum20
Zeros3
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:07.822908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q11
median1
Q31
95-th percentile4.5
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0892603
Coefficient of variation (CV)1.7505809
Kurtosis26.18665
Mean1.7647059
Median Absolute Deviation (MAD)0
Skewness4.9152212
Sum90
Variance9.5435294
MonotonicityNot monotonic
2024-03-18T12:35:07.914948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 38
66.7%
2 7
 
12.3%
0 3
 
5.3%
20 1
 
1.8%
7 1
 
1.8%
11 1
 
1.8%
(Missing) 6
 
10.5%
ValueCountFrequency (%)
0 3
 
5.3%
1 38
66.7%
2 7
 
12.3%
7 1
 
1.8%
11 1
 
1.8%
20 1
 
1.8%
ValueCountFrequency (%)
20 1
 
1.8%
11 1
 
1.8%
7 1
 
1.8%
2 7
 
12.3%
1 38
66.7%
0 3
 
5.3%

비상승강기합
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
52 
4
 
2
0
 
1
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.7368421
Min length1

Unique

Unique3 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
91.2%
4 2
 
3.5%
0 1
 
1.8%
1 1
 
1.8%
2 1
 
1.8%

Length

2024-03-18T12:35:08.054168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:08.180363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
91.2%
4 2
 
3.5%
0 1
 
1.8%
1 1
 
1.8%
2 1
 
1.8%

하수처리시설명
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
부패탱크방법
47 
<NA>
 
4
기타오수처리시설
 
2
하수종말처리장연결
 
2
현수미생물접촉방법
 
1

Length

Max length9
Median length6
Mean length6.1052632
Min length4

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
부패탱크방법 47
82.5%
<NA> 4
 
7.0%
기타오수처리시설 2
 
3.5%
하수종말처리장연결 2
 
3.5%
현수미생물접촉방법 1
 
1.8%
기타단독정화조 1
 
1.8%

Length

2024-03-18T12:35:08.288584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:08.378203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부패탱크방법 47
82.5%
na 4
 
7.0%
기타오수처리시설 2
 
3.5%
하수종말처리장연결 2
 
3.5%
현수미생물접촉방법 1
 
1.8%
기타단독정화조 1
 
1.8%

하수처리시설용량(세제곱미터)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing43
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean103.10786
Minimum1
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:08.463829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q111.675
median16.19
Q353.105
95-th percentile490.55
Maximum850
Range849
Interquartile range (IQR)41.43

Descriptive statistics

Standard deviation228.09613
Coefficient of variation (CV)2.212209
Kurtosis10.32147
Mean103.10786
Median Absolute Deviation (MAD)9.121
Skewness3.1514599
Sum1443.51
Variance52027.843
MonotonicityNot monotonic
2024-03-18T12:35:08.552357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11.84 3
 
5.3%
8.96 1
 
1.8%
25.242 1
 
1.8%
850.0 1
 
1.8%
20.54 1
 
1.8%
88.208 1
 
1.8%
297.0 1
 
1.8%
1.0 1
 
1.8%
57.0 1
 
1.8%
7.0 1
 
1.8%
Other values (2) 2
 
3.5%
(Missing) 43
75.4%
ValueCountFrequency (%)
1.0 1
 
1.8%
7.0 1
 
1.8%
8.96 1
 
1.8%
11.62 1
 
1.8%
11.84 3
5.3%
20.54 1
 
1.8%
25.242 1
 
1.8%
41.42 1
 
1.8%
57.0 1
 
1.8%
88.208 1
 
1.8%
ValueCountFrequency (%)
850.0 1
 
1.8%
297.0 1
 
1.8%
88.208 1
 
1.8%
57.0 1
 
1.8%
41.42 1
 
1.8%
25.242 1
 
1.8%
20.54 1
 
1.8%
11.84 3
5.3%
11.62 1
 
1.8%
8.96 1
 
1.8%

주용도
Categorical

Distinct16
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size588.0 B
공동주택
20 
제2종근린생활시설
9 
업무시설
6 
제1종근린생활시설
4 
공장
3 
Other values (11)
15 

Length

Max length9
Median length4
Mean length5.1929825
Min length2

Unique

Unique7 ?
Unique (%)12.3%

Sample

1st row공동주택
2nd row업무시설
3rd row판매시설
4th row공동주택
5th row위락시설

Common Values

ValueCountFrequency (%)
공동주택 20
35.1%
제2종근린생활시설 9
15.8%
업무시설 6
 
10.5%
제1종근린생활시설 4
 
7.0%
공장 3
 
5.3%
판매시설 2
 
3.5%
노유자시설 2
 
3.5%
단독주택 2
 
3.5%
숙박시설 2
 
3.5%
위락시설 1
 
1.8%
Other values (6) 6
 
10.5%

Length

2024-03-18T12:35:08.659012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 20
35.1%
제2종근린생활시설 9
15.8%
업무시설 6
 
10.5%
제1종근린생활시설 4
 
7.0%
공장 3
 
5.3%
판매시설 2
 
3.5%
노유자시설 2
 
3.5%
단독주택 2
 
3.5%
숙박시설 2
 
3.5%
위락시설 1
 
1.8%
Other values (6) 6
 
10.5%

부속용도
Text

MISSING 

Distinct38
Distinct (%)77.6%
Missing8
Missing (%)14.0%
Memory size588.0 B
2024-03-18T12:35:08.867876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length9.3061224
Min length2

Characters and Unicode

Total characters456
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)67.3%

Sample

1st row(도시형생활주택 - 단지형 연립주택)
2nd row오피스텔
3rd row다세대주택
4th row판매시설,근린생활시설
5th row단지형 다세대 및 오피스텔
ValueCountFrequency (%)
다세대주택 6
 
9.0%
오피스텔 5
 
7.5%
다중생활시설 3
 
4.5%
단지형 3
 
4.5%
및 3
 
4.5%
단지형연립주택 3
 
4.5%
근린생활시설 2
 
3.0%
마을공동작업소 2
 
3.0%
다세대 2
 
3.0%
2
 
3.0%
Other values (35) 36
53.7%
2024-03-18T12:35:09.161543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
5.7%
시 25
 
5.5%
택 24
 
5.3%
설 20
 
4.4%
18
 
3.9%
다 16
 
3.5%
생 15
 
3.3%
형 15
 
3.3%
활 15
 
3.3%
대 13
 
2.9%
Other values (75) 269
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
87.7%
Space Separator 18
 
3.9%
Other Punctuation 13
 
2.9%
Close Punctuation 9
 
2.0%
Open Punctuation 9
 
2.0%
Dash Punctuation 4
 
0.9%
Decimal Number 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
6.5%
시 25
 
6.2%
택 24
 
6.0%
설 20
 
5.0%
다 16
 
4.0%
생 15
 
3.8%
형 15
 
3.8%
활 15
 
3.8%
대 13
 
3.2%
세 12
 
3.0%
Other values (68) 219
54.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
87.7%
Common 56
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
6.5%
시 25
 
6.2%
택 24
 
6.0%
설 20
 
5.0%
다 16
 
4.0%
생 15
 
3.8%
형 15
 
3.8%
활 15
 
3.8%
대 13
 
3.2%
세 12
 
3.0%
Other values (68) 219
54.8%
Common
ValueCountFrequency (%)
18
32.1%
, 13
23.2%
) 9
16.1%
( 9
16.1%
- 4
 
7.1%
1 2
 
3.6%
2 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
87.7%
ASCII 56
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
6.5%
시 25
 
6.2%
택 24
 
6.0%
설 20
 
5.0%
다 16
 
4.0%
생 15
 
3.8%
형 15
 
3.8%
활 15
 
3.8%
대 13
 
3.2%
세 12
 
3.0%
Other values (68) 219
54.8%
ASCII
ValueCountFrequency (%)
18
32.1%
, 13
23.2%
) 9
16.1%
( 9
16.1%
- 4
 
7.1%
1 2
 
3.6%
2 1
 
1.8%

용도지역
Categorical

Distinct7
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
제2종일반주거지역
23 
일반상업지역
15 
준주거지역
10 
일반공업지역
5 
준공업지역
 
2
Other values (2)
 
2

Length

Max length9
Median length6
Mean length6.9649123
Min length4

Unique

Unique2 ?
Unique (%)3.5%

Sample

1st row제2종일반주거지역
2nd row일반상업지역
3rd row중심상업지역
4th row제2종일반주거지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
제2종일반주거지역 23
40.4%
일반상업지역 15
26.3%
준주거지역 10
17.5%
일반공업지역 5
 
8.8%
준공업지역 2
 
3.5%
중심상업지역 1
 
1.8%
도시지역 1
 
1.8%

Length

2024-03-18T12:35:09.278352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:09.362391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2종일반주거지역 23
40.4%
일반상업지역 15
26.3%
준주거지역 10
17.5%
일반공업지역 5
 
8.8%
준공업지역 2
 
3.5%
중심상업지역 1
 
1.8%
도시지역 1
 
1.8%

용도지구
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
37 
방화지구
15 
고도지구
 
3
중심지미관지구
 
1
철도보호지구
 
1

Length

Max length7
Median length4
Mean length4.0877193
Min length4

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
64.9%
방화지구 15
26.3%
고도지구 3
 
5.3%
중심지미관지구 1
 
1.8%
철도보호지구 1
 
1.8%

Length

2024-03-18T12:35:09.477513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:09.563984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
64.9%
방화지구 15
26.3%
고도지구 3
 
5.3%
중심지미관지구 1
 
1.8%
철도보호지구 1
 
1.8%

용도구역
Categorical

Distinct8
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
24 
상대보호구역
18 
지구단위계획구역
6 
제1종지구단위계획구역
3 
가축사육제한구역
 
2
Other values (3)
4 

Length

Max length11
Median length8
Mean length5.7894737
Min length4

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
42.1%
상대보호구역 18
31.6%
지구단위계획구역 6
 
10.5%
제1종지구단위계획구역 3
 
5.3%
가축사육제한구역 2
 
3.5%
산업시설구역 2
 
3.5%
공공시설구역 1
 
1.8%
현상변경허가 대상구역 1
 
1.8%

Length

2024-03-18T12:35:09.672066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:09.765992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
41.4%
상대보호구역 18
31.0%
지구단위계획구역 6
 
10.3%
제1종지구단위계획구역 3
 
5.2%
가축사육제한구역 2
 
3.4%
산업시설구역 2
 
3.4%
공공시설구역 1
 
1.7%
현상변경허가 1
 
1.7%
대상구역 1
 
1.7%

자주식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)65.6%
Missing25
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean108.90625
Minimum1
Maximum1395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:09.874247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q16.75
median11
Q336
95-th percentile600.7
Maximum1395
Range1394
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation285.34183
Coefficient of variation (CV)2.6200684
Kurtosis14.299422
Mean108.90625
Median Absolute Deviation (MAD)7
Skewness3.6726547
Sum3485
Variance81419.959
MonotonicityNot monotonic
2024-03-18T12:35:09.978901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4 4
 
7.0%
10 3
 
5.3%
8 3
 
5.3%
7 2
 
3.5%
12 2
 
3.5%
48 2
 
3.5%
16 2
 
3.5%
2 1
 
1.8%
802 1
 
1.8%
115 1
 
1.8%
Other values (11) 11
19.3%
(Missing) 25
43.9%
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
3 1
 
1.8%
4 4
7.0%
6 1
 
1.8%
7 2
3.5%
8 3
5.3%
10 3
5.3%
12 2
3.5%
15 1
 
1.8%
ValueCountFrequency (%)
1395 1
1.8%
802 1
1.8%
436 1
1.8%
311 1
1.8%
115 1
1.8%
72 1
1.8%
48 2
3.5%
32 1
1.8%
30 1
1.8%
29 1
1.8%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)53.6%
Missing29
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean47.535714
Minimum1
Maximum784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:10.070123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median7.5
Q312
95-th percentile193.85
Maximum784
Range783
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation151.96283
Coefficient of variation (CV)3.1968139
Kurtosis22.282733
Mean47.535714
Median Absolute Deviation (MAD)4.5
Skewness4.6034337
Sum1331
Variance23092.702
MonotonicityNot monotonic
2024-03-18T12:35:10.223909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10 4
 
7.0%
2 4
 
7.0%
12 3
 
5.3%
1 3
 
5.3%
14 2
 
3.5%
6 2
 
3.5%
7 2
 
3.5%
784 1
 
1.8%
8 1
 
1.8%
110 1
 
1.8%
Other values (5) 5
 
8.8%
(Missing) 29
50.9%
ValueCountFrequency (%)
1 3
5.3%
2 4
7.0%
3 1
 
1.8%
4 1
 
1.8%
5 1
 
1.8%
6 2
3.5%
7 2
3.5%
8 1
 
1.8%
10 4
7.0%
12 3
5.3%
ValueCountFrequency (%)
784 1
 
1.8%
239 1
 
1.8%
110 1
 
1.8%
37 1
 
1.8%
14 2
3.5%
12 3
5.3%
10 4
7.0%
8 1
 
1.8%
7 2
3.5%
6 2
3.5%

기계식옥내주차장(대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
14
 
1
48
 
1

Length

Max length4
Median length4
Mean length3.9298246
Min length2

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
14 1
 
1.8%
48 1
 
1.8%

Length

2024-03-18T12:35:10.426718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:10.529332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
14 1
 
1.8%
48 1
 
1.8%

기계식옥외주차장(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
56 
30
 
1

Length

Max length4
Median length4
Mean length3.9649123
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
98.2%
30 1
 
1.8%

Length

2024-03-18T12:35:10.652241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:10.743939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
98.2%
30 1
 
1.8%

총주차대수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.105263
Minimum0
Maximum2179
Zeros4
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:10.829064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median10
Q329
95-th percentile336
Maximum2179
Range2179
Interquartile range (IQR)22

Descriptive statistics

Standard deviation309.66605
Coefficient of variation (CV)3.5963661
Kurtosis38.916615
Mean86.105263
Median Absolute Deviation (MAD)6
Skewness5.9650954
Sum4908
Variance95893.06
MonotonicityNot monotonic
2024-03-18T12:35:10.928625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8 6
 
10.5%
12 5
 
8.8%
10 5
 
8.8%
0 4
 
7.0%
7 4
 
7.0%
16 4
 
7.0%
4 3
 
5.3%
14 2
 
3.5%
2 2
 
3.5%
3 2
 
3.5%
Other values (18) 20
35.1%
ValueCountFrequency (%)
0 4
7.0%
1 2
 
3.5%
2 2
 
3.5%
3 2
 
3.5%
4 3
5.3%
6 1
 
1.8%
7 4
7.0%
8 6
10.5%
10 5
8.8%
12 5
8.8%
ValueCountFrequency (%)
2179 1
1.8%
802 1
1.8%
436 1
1.8%
311 1
1.8%
239 1
1.8%
163 1
1.8%
110 1
1.8%
72 1
1.8%
48 2
3.5%
37 1
1.8%

총주차장면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1267.6497
Minimum0
Maximum40398.26
Zeros12
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:11.026251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137.5
median100
Q3179
95-th percentile2216.18
Maximum40398.26
Range40398.26
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation5872.9446
Coefficient of variation (CV)4.6329398
Kurtosis37.623942
Mean1267.6497
Median Absolute Deviation (MAD)79
Skewness5.9733314
Sum72256.031
Variance34491478
MonotonicityNot monotonic
2024-03-18T12:35:11.147524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 12
21.1%
100.0 6
 
10.5%
87.5 3
 
5.3%
50.0 2
 
3.5%
119.2 2
 
3.5%
198.7 2
 
3.5%
148.2 1
 
1.8%
1375.0 1
 
1.8%
37.5 1
 
1.8%
56.54 1
 
1.8%
Other values (26) 26
45.6%
ValueCountFrequency (%)
0.0 12
21.1%
12.0 1
 
1.8%
12.5 1
 
1.8%
37.5 1
 
1.8%
50.0 2
 
3.5%
56.54 1
 
1.8%
62.25 1
 
1.8%
75.0 1
 
1.8%
81.68 1
 
1.8%
86.5 1
 
1.8%
ValueCountFrequency (%)
40398.26 1
1.8%
18885.9811 1
1.8%
5580.9 1
1.8%
1375.0 1
1.8%
592.1 1
1.8%
408.0 1
1.8%
363.55 1
1.8%
362.5 1
1.8%
200.0 1
1.8%
198.72 1
1.8%

세대수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)45.0%
Missing37
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean27.2
Minimum6
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:11.451187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q18
median12
Q316
95-th percentile55.8
Maximum280
Range274
Interquartile range (IQR)8

Descriptive statistics

Standard deviation60.194072
Coefficient of variation (CV)2.2130174
Kurtosis18.94262
Mean27.2
Median Absolute Deviation (MAD)4
Skewness4.3114141
Sum544
Variance3623.3263
MonotonicityNot monotonic
2024-03-18T12:35:11.524114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 4
 
7.0%
16 4
 
7.0%
10 3
 
5.3%
12 3
 
5.3%
6 2
 
3.5%
14 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
280 1
 
1.8%
(Missing) 37
64.9%
ValueCountFrequency (%)
6 2
3.5%
8 4
7.0%
10 3
5.3%
12 3
5.3%
14 1
 
1.8%
16 4
7.0%
32 1
 
1.8%
44 1
 
1.8%
280 1
 
1.8%
ValueCountFrequency (%)
280 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
16 4
7.0%
14 1
 
1.8%
12 3
5.3%
10 3
5.3%
8 4
7.0%
6 2
3.5%

호수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing46
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-03-18T12:35:11.601726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median31
Q357.5
95-th percentile116
Maximum160
Range159
Interquartile range (IQR)44

Descriptive statistics

Standard deviation45.793013
Coefficient of variation (CV)1.0649538
Kurtosis3.9893564
Mean43
Median Absolute Deviation (MAD)19
Skewness1.8400775
Sum473
Variance2097
MonotonicityNot monotonic
2024-03-18T12:35:11.683233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15 1
 
1.8%
160 1
 
1.8%
69 1
 
1.8%
31 1
 
1.8%
16 1
 
1.8%
1 1
 
1.8%
72 1
 
1.8%
12 1
 
1.8%
6 1
 
1.8%
46 1
 
1.8%
(Missing) 46
80.7%
ValueCountFrequency (%)
1 1
1.8%
6 1
1.8%
12 1
1.8%
15 1
1.8%
16 1
1.8%
31 1
1.8%
45 1
1.8%
46 1
1.8%
69 1
1.8%
72 1
1.8%
ValueCountFrequency (%)
160 1
1.8%
72 1
1.8%
69 1
1.8%
46 1
1.8%
45 1
1.8%
31 1
1.8%
16 1
1.8%
15 1
1.8%
12 1
1.8%
6 1
1.8%

가구수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
1
 
1
19
 
1

Length

Max length4
Median length4
Mean length3.9122807
Min length1

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
1 1
 
1.8%
19 1
 
1.8%

Length

2024-03-18T12:35:11.792105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:11.871924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
1 1
 
1.8%
19 1
 
1.8%

주건축물수
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
50 
2
 
3
3
 
2
8
 
1
18
 
1

Length

Max length2
Median length1
Mean length1.0175439
Min length1

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
87.7%
2 3
 
5.3%
3 2
 
3.5%
8 1
 
1.8%
18 1
 
1.8%

Length

2024-03-18T12:35:11.952259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:12.041948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
87.7%
2 3
 
5.3%
3 2
 
3.5%
8 1
 
1.8%
18 1
 
1.8%

부속건축물수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
51 
2
 
2
3
 
1
1
 
1
22
 
1

Length

Max length4
Median length4
Mean length3.7192982
Min length1

Unique

Unique4 ?
Unique (%)7.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 51
89.5%
2 2
 
3.5%
3 1
 
1.8%
1 1
 
1.8%
22 1
 
1.8%
11 1
 
1.8%

Length

2024-03-18T12:35:12.138894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:12.222377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
89.5%
2 2
 
3.5%
3 1
 
1.8%
1 1
 
1.8%
22 1
 
1.8%
11 1
 
1.8%

Sample

건축구분대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분허가일착공처리일착공예정일실제착공일사용승인일준공예정일(사용승인예정일)건축허가최초접수번호건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수
0신축인천광역시 미추홀구 주안동 18-113 외1필지<NA>491.6283.61024.62<NA>57.69208.43철근콘크리트구조미취소2023-01-052023-01-312023-01-26<NA><NA>2023-07-302022-3510500-03544312022-12-22<NA>5014.611<NA>부패탱크방법8.96공동주택(도시형생활주택 - 단지형 연립주택)제2종일반주거지역<NA>상대보호구역<NA>14<NA><NA>14179.014<NA><NA>1<NA>
1신축인천광역시 미추홀구 숭의동 3-57 외1필지<NA>345.4270.851714.85<NA>78.42388.02철근콘크리트구조미취소2023-01-30<NA><NA><NA><NA><NA>2022-3510500-03323352022-11-11<NA>6219.2311<NA><NA>11.84업무시설오피스텔일반상업지역방화지구<NA>15<NA><NA><NA>15186.2<NA>15<NA>1<NA>
2대수선인천광역시 미추홀구 관교동 15대77815.821106.21161815.52<NA>27.12101.21철골철근콘크리트구조미취소2023-02-01<NA><NA><NA><NA><NA>2023-3510500-00078562023-01-13<NA>6235.29420<NA><NA><NA>판매시설<NA>중심상업지역중심지미관지구지구단위계획구역1395784<NA><NA>21790.0<NA><NA><NA>13
3신축인천광역시 미추홀구 용현동 204-21 외1필지대157.393.14341.46<NA>59.21217.08철근콘크리트구조미취소2023-02-01<NA><NA><NA><NA><NA>2022-3510500-03566762022-12-27<NA>5015.311<NA>부패탱크방법<NA>공동주택다세대주택제2종일반주거지역<NA>지구단위계획구역<NA>6<NA><NA>675.06<NA><NA>1<NA>
4용도변경인천광역시 미추홀구 주안동 197-24대293.2235.4944.34<NA>80.29246.49벽돌구조미취소2023-02-01<NA><NA><NA><NA><NA>2022-3510500-03536452022-12-21<NA>310.01<NA><NA>기타오수처리시설<NA>위락시설판매시설,근린생활시설일반상업지역방화지구<NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
5대수선인천광역시 미추홀구 용현동 630-57 외1필지대287.5201.37927.35<NA>70.04313.64철근콘크리트구조미취소2023-02-032023-02-102023-02-072023-02-102023-02-232023-02-282023-3510500-00109712023-01-182023-02-146120.811<NA>부패탱크방법<NA>공동주택단지형 다세대 및 오피스텔일반상업지역방화지구<NA>10<NA><NA><NA>10119.76<NA><NA>1<NA>
6신축인천광역시 미추홀구 주안동 8-10 외1필지대341.3204.72659.93<NA>59.98193.36철근콘크리트구조미취소2023-02-032023-02-272023-02-17<NA><NA>2024-02-172023-3510500-00055972023-01-10<NA>5015.711<NA>부패탱크방법<NA>공동주택단지형다세대주택제2종일반주거지역철도보호지구상대보호구역<NA>10<NA><NA>10119.210<NA><NA>1<NA>
7개축인천광역시 미추홀구 주안동 1418-93공원1652.063.65168.86<NA>3.8510.2215철근콘크리트구조미취소2023-02-09<NA><NA><NA><NA><NA>2022-3510500-P7670722022-12-26<NA>3010.7110부패탱크방법<NA>노유자시설노인복지시설제2종일반주거지역<NA>상대보호구역<NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
8신축인천광역시 미추홀구 주안동 1546-1 외2필지대564.8252.11133.1<NA>44.64200.62철근콘크리트구조미취소2023-02-13<NA><NA><NA><NA><NA>2023-3510500-00091472023-01-17<NA>5023.1411<NA>부패탱크방법<NA>제2종근린생활시설1종근린생활시설,교육연구시설준주거지역<NA><NA><NA>7<NA><NA>787.5<NA><NA><NA>1<NA>
9신축인천광역시 미추홀구 주안동 8-15 외1필지대326.9180.6659.83<NA>55.25201.84철근콘크리트구조미취소2023-02-152023-03-032023-03-02<NA><NA>2023-08-312023-3510500-00165492023-01-30<NA>5015.611<NA>부패탱크방법<NA>공동주택다세대주택제2종일반주거지역<NA>상대보호구역8<NA><NA><NA>8100.08<NA><NA>1<NA>
건축구분대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분허가일착공처리일착공예정일실제착공일사용승인일준공예정일(사용승인예정일)건축허가최초접수번호건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수
47증축인천광역시 미추홀구 주안동 1389-2 외1필지대42155.711547.333728.333556.9627.39275.244철근콘크리트구조미취소2023-05-16<NA><NA><NA><NA><NA>2022-3510500-03312622022-11-10<NA>4119.3518<NA><NA><NA><NA>교육연구시설<NA>일반공업지역<NA>공공시설구역<NA>239<NA><NA>2390.0<NA><NA><NA>18<NA>
48신축인천광역시 미추홀구 주안동 731-3주차장740.7263.73470.18<NA>35.6163.48철근콘크리트구조미취소2023-05-16<NA><NA><NA><NA><NA>2023-3510500-P9911312023-03-23<NA>3013.1311<NA>부패탱크방법<NA>제1종근린생활시설주민공동이용시설제2종일반주거지역<NA>상대보호구역4<NA><NA><NA>4198.72<NA><NA><NA>1<NA>
49신축인천광역시 미추홀구 주안동 1486-16 외1필지대462.8277.481242.86<NA>59.96260.19철근콘크리트구조미취소2023-06-02<NA><NA><NA><NA><NA>2023-3510500-00585922023-04-04<NA>6119.611<NA>부패탱크방법11.62공동주택(다세대주택),일반업무시설(오피스텔)준주거지역<NA>상대보호구역<NA>14<NA><NA>14173.786<NA>1<NA>
50신축인천광역시 미추홀구 주안동 1385-23공장용지2144.01532.942517.52<NA>71.5117.42일반철골구조미취소2023-06-02<NA><NA><NA><NA><NA>2023-3510500-00658052023-04-17<NA>2019.61<NA><NA>부패탱크방법<NA>공장<NA>일반공업지역<NA>산업시설구역<NA>7<NA><NA>786.5<NA><NA><NA>1<NA>
51신축인천광역시 미추홀구 도화동 69-56대1282.4680.712002.19<NA>53.08156.13일반철골구조미취소2023-06-22<NA><NA><NA><NA><NA>2023-3510500-00963312023-06-09<NA>4026.211<NA>부패탱크방법<NA>공장<NA>준공업지역<NA>상대보호구역35<NA><NA>8100.0<NA><NA><NA>1<NA>
52신축인천광역시 미추홀구 용현동 343-17대624.9374.821218.17<NA>59.98194.94철근콘크리트구조미취소2023-06-22<NA><NA><NA><NA><NA>2022-3510500-02998062022-09-15<NA>5014.511<NA>부패탱크방법<NA>공동주택연립주택제2종일반주거지역<NA>현상변경허가 대상구역124<NA><NA>16198.716<NA><NA>1<NA>
53신축인천광역시 미추홀구 주안동 268-6대222.5150.08999.88<NA>67.45436.56철근콘크리트구조미취소2023-06-26<NA><NA><NA><NA><NA>2023-3510500-00828412023-05-16<NA>9130.2711<NA>부패탱크방법<NA>숙박시설다중생활시설일반상업지역방화지구<NA>7<NA><NA><NA>787.5<NA>46<NA>1<NA>
54신축인천광역시 미추홀구 도화동 513-3 외1필지대371.8219.24814.14<NA>58.97218.97철근콘크리트구조미취소2023-06-29<NA><NA><NA><NA><NA>2023-3510500-00881562023-05-25<NA>5014.311<NA>부패탱크방법<NA>공동주택단지형연립주택준주거지역고도지구제1종지구단위계획구역10<NA><NA><NA>10123.710<NA><NA>1<NA>
55신축인천광역시 미추홀구 문학동 문학도시개발지구 17 1대895.2452.782013.3<NA>50.5786176.29철근콘크리트구조미취소2023-06-29<NA><NA><NA><NA><NA>2023-3510500-00631172023-04-11<NA>5119.911<NA>부패탱크방법<NA>노유자시설노인요양시설제2종일반주거지역<NA>지구단위계획구역<NA>10<NA><NA>10148.7<NA><NA><NA>1<NA>
56신축인천광역시 미추홀구 용현동 627-461대687.0490.1656835.3939<NA>71.35750.56철근콘크리트구조미취소2023-06-30<NA><NA><NA><NA><NA>2023-3510500-00077692023-01-13<NA>20071.311<NA>부패탱크방법<NA>업무시설오피스텔(주거용) 및 제1종근린생활시설일반상업지역방화지구<NA>48<NA><NA><NA>480.0<NA>45<NA>1<NA>

Duplicate rows

Most frequently occurring

건축구분대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분허가일착공처리일착공예정일실제착공일사용승인일준공예정일(사용승인예정일)건축허가최초접수번호건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수# duplicates
0신축인천광역시 미추홀구 도화동 537-41 외4필지대256.8143.36245.31<NA>55.825595.5257철골콘크리트구조미취소2023-04-24<NA><NA><NA><NA><NA>2022-3510500-P3863182022-08-31<NA>309.7911<NA>부패탱크방법<NA>제1종근린생활시설마을공동작업소준주거지역고도지구상대보호구역<NA>2<NA><NA>20.0<NA><NA><NA>1<NA>2