Overview

Dataset statistics

Number of variables18
Number of observations562
Missing cells1429
Missing cells (%)14.1%
Duplicate rows4
Duplicate rows (%)0.7%
Total size in memory81.9 KiB
Average record size in memory149.2 B

Variable types

Categorical5
Text6
Numeric5
DateTime2

Dataset

Description기준일자 최근 1년간 건축신고 및 허미등 현황(등록구분, 유형( 건축신고, 건축허가, 용도변경 신고, 용도변경 허가, 사용승인, 임시사용승인, 착공신고 등), 건축구분, 대지소재지, 대지면적, 건축면적, 연면적, 증축연면적, 구조, 허가일, 착공예정일, 최대지상층수, 최대지하층수, 동수, 주용도, 부속용도, 총주차, 세대가구수 등)
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3078187&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 4 (0.7%) duplicate rowsDuplicates
대지면적(제곱미터) is highly overall correlated with 건축면적(제곱미터) and 2 other fieldsHigh correlation
건축면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 3 other fieldsHigh correlation
최대지상층수 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
최대지하층수 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
등록구분 is highly overall correlated with 건축구분High correlation
건축구분 is highly overall correlated with 등록구분High correlation
지목 is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
주용도 is highly overall correlated with 지목High correlation
지목 is highly imbalanced (53.6%)Imbalance
착공처리일 has 194 (34.5%) missing valuesMissing
최대지하층수 has 161 (28.6%) missing valuesMissing
부속용도 has 235 (41.8%) missing valuesMissing
설계자 전화번호 has 88 (15.7%) missing valuesMissing
설계사무소명 has 116 (20.6%) missing valuesMissing
감리사무소명 has 268 (47.7%) missing valuesMissing
시공자사무소명 has 367 (65.3%) missing valuesMissing
건축면적(제곱미터) is highly skewed (γ1 = 21.20296694)Skewed
최대지하층수 has 219 (39.0%) zerosZeros

Reproduction

Analysis started2024-01-28 11:59:00.377296
Analysis finished2024-01-28 11:59:03.650726
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
건축허가
333 
건축신고
126 
용도변경신고
55 
용도변경허가
48 

Length

Max length6
Median length4
Mean length4.366548
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건축허가 333
59.3%
건축신고 126
 
22.4%
용도변경신고 55
 
9.8%
용도변경허가 48
 
8.5%

Length

2024-01-28T20:59:03.716186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:59:03.810089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건축허가 333
59.3%
건축신고 126
 
22.4%
용도변경신고 55
 
9.8%
용도변경허가 48
 
8.5%

건축구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
신축
239 
증축
160 
용도변경
103 
대수선
58 
재축
 
2

Length

Max length4
Median length2
Mean length2.4697509
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 239
42.5%
증축 160
28.5%
용도변경 103
18.3%
대수선 58
 
10.3%
재축 2
 
0.4%

Length

2024-01-28T20:59:03.915512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:59:04.008656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 239
42.5%
증축 160
28.5%
용도변경 103
18.3%
대수선 58
 
10.3%
재축 2
 
0.4%

대지위치
Text

Distinct508
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-01-28T20:59:04.320329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length20.080071
Min length15

Characters and Unicode

Total characters11285
Distinct characters41
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

Unique463 ?
Unique (%)82.4%

Sample

1st row인천광역시 남동구 논현동 438-1
2nd row인천광역시 남동구 구월동 1146
3rd row인천광역시 남동구 간석동 616-3
4th row인천광역시 남동구 간석동 268-23
5th row인천광역시 남동구 간석동 63-9 외1필지
ValueCountFrequency (%)
인천광역시 562
23.9%
남동구 562
23.9%
고잔동 165
 
7.0%
구월동 85
 
3.6%
간석동 78
 
3.3%
외1필지 65
 
2.8%
만수동 57
 
2.4%
논현동 52
 
2.2%
남촌동 35
 
1.5%
장수동 24
 
1.0%
Other values (514) 667
28.4%
2024-01-28T20:59:04.763934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1790
15.9%
동 1124
 
10.0%
구 647
 
5.7%
남 597
 
5.3%
인 562
 
5.0%
광 562
 
5.0%
역 562
 
5.0%
시 562
 
5.0%
천 562
 
5.0%
1 535
 
4.7%
Other values (31) 3782
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6490
57.5%
Decimal Number 2497
 
22.1%
Space Separator 1790
 
15.9%
Dash Punctuation 508
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1124
17.3%
구 647
10.0%
남 597
9.2%
인 562
8.7%
광 562
8.7%
역 562
8.7%
시 562
8.7%
천 562
8.7%
고 165
 
2.5%
잔 165
 
2.5%
Other values (19) 982
15.1%
Decimal Number
ValueCountFrequency (%)
1 535
21.4%
6 318
12.7%
2 308
12.3%
3 236
9.5%
7 234
9.4%
4 221
8.9%
5 194
 
7.8%
8 166
 
6.6%
9 159
 
6.4%
0 126
 
5.0%
Space Separator
ValueCountFrequency (%)
1790
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6490
57.5%
Common 4795
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1124
17.3%
구 647
10.0%
남 597
9.2%
인 562
8.7%
광 562
8.7%
역 562
8.7%
시 562
8.7%
천 562
8.7%
고 165
 
2.5%
잔 165
 
2.5%
Other values (19) 982
15.1%
Common
ValueCountFrequency (%)
1790
37.3%
1 535
 
11.2%
- 508
 
10.6%
6 318
 
6.6%
2 308
 
6.4%
3 236
 
4.9%
7 234
 
4.9%
4 221
 
4.6%
5 194
 
4.0%
8 166
 
3.5%
Other values (2) 285
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6490
57.5%
ASCII 4795
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1790
37.3%
1 535
 
11.2%
- 508
 
10.6%
6 318
 
6.6%
2 308
 
6.4%
3 236
 
4.9%
7 234
 
4.9%
4 221
 
4.6%
5 194
 
4.0%
8 166
 
3.5%
Other values (2) 285
 
5.9%
Hangul
ValueCountFrequency (%)
동 1124
17.3%
구 647
10.0%
남 597
9.2%
인 562
8.7%
광 562
8.7%
역 562
8.7%
시 562
8.7%
천 562
8.7%
고 165
 
2.5%
잔 165
 
2.5%
Other values (19) 982
15.1%

지목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
대
309 
공장용지
176 
전
35 
잡종지
 
9
임야
 
8
Other values (9)
 
25

Length

Max length5
Median length1
Mean length2.0765125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 309
55.0%
공장용지 176
31.3%
전 35
 
6.2%
잡종지 9
 
1.6%
임야 8
 
1.4%
종교용지 5
 
0.9%
답 4
 
0.7%
과수원 3
 
0.5%
주차장 3
 
0.5%
주유소용지 2
 
0.4%
Other values (4) 8
 
1.4%

Length

2024-01-28T20:59:04.895313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 309
55.0%
공장용지 176
31.3%
전 35
 
6.2%
잡종지 9
 
1.6%
임야 8
 
1.4%
종교용지 5
 
0.9%
답 4
 
0.7%
과수원 3
 
0.5%
주차장 3
 
0.5%
주유소용지 2
 
0.4%
Other values (4) 8
 
1.4%

대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct482
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5384.5002
Minimum104
Maximum556702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-01-28T20:59:05.003707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile167.905
Q1334.5
median862.3
Q32295.25
95-th percentile8674.8
Maximum556702
Range556598
Interquartile range (IQR)1960.75

Descriptive statistics

Standard deviation36747.865
Coefficient of variation (CV)6.8247494
Kurtosis185.37461
Mean5384.5002
Median Absolute Deviation (MAD)616.05
Skewness13.070756
Sum3026089.1
Variance1.3504056 × 109
MonotonicityNot monotonic
2024-01-28T20:59:05.114180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 9
 
1.6%
362.0 6
 
1.1%
495.0 6
 
1.1%
970.9 5
 
0.9%
383.9 4
 
0.7%
198.0 4
 
0.7%
3023.0 3
 
0.5%
3724.2 3
 
0.5%
3995.1 3
 
0.5%
8674.8 3
 
0.5%
Other values (472) 516
91.8%
ValueCountFrequency (%)
104.0 1
0.2%
108.3 1
0.2%
110.0 1
0.2%
112.2 1
0.2%
120.8 1
0.2%
122.8 1
0.2%
124.0 1
0.2%
132.0 1
0.2%
136.6 2
0.4%
142.7 1
0.2%
ValueCountFrequency (%)
556702.0 2
0.4%
247750.0 1
0.2%
216267.0 1
0.2%
148543.0 1
0.2%
78328.9 1
0.2%
69091.1 1
0.2%
65228.0 1
0.2%
36918.9 1
0.2%
32007.7 1
0.2%
24488.0 1
0.2%

건축면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct507
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1591.2336
Minimum2
Maximum207910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-01-28T20:59:05.231519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile82.375
Q1184.0375
median437.955
Q31269.975
95-th percentile4223.029
Maximum207910
Range207908
Interquartile range (IQR)1085.9375

Descriptive statistics

Standard deviation9064.3824
Coefficient of variation (CV)5.6964498
Kurtosis480.81576
Mean1591.2336
Median Absolute Deviation (MAD)324.265
Skewness21.202967
Sum894273.28
Variance82163028
MonotonicityNot monotonic
2024-01-28T20:59:05.371351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
243.2 6
 
1.1%
342.0 6
 
1.1%
751.66 5
 
0.9%
986.05 3
 
0.5%
2595.67 3
 
0.5%
3863.48 3
 
0.5%
3194.43 3
 
0.5%
38.98 3
 
0.5%
96.0 3
 
0.5%
1807.23 3
 
0.5%
Other values (497) 524
93.2%
ValueCountFrequency (%)
2.0 1
 
0.2%
20.0 1
 
0.2%
23.15 1
 
0.2%
27.0 2
0.4%
29.02 1
 
0.2%
32.0 1
 
0.2%
32.16 1
 
0.2%
38.98 3
0.5%
40.71 1
 
0.2%
50.0 1
 
0.2%
ValueCountFrequency (%)
207910.0 1
0.2%
27068.48 1
0.2%
22310.54 1
0.2%
17992.66 1
0.2%
17485.01 1
0.2%
16198.38 1
0.2%
14621.1 2
0.4%
12565.62 1
0.2%
10351.0 1
0.2%
7924.74 1
0.2%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct516
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4534.8353
Minimum2
Maximum82482.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-01-28T20:59:05.483858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile126.46
Q1394.875
median1160.59
Q34658.785
95-th percentile22154.866
Maximum82482.65
Range82480.65
Interquartile range (IQR)4263.91

Descriptive statistics

Standard deviation8858.7142
Coefficient of variation (CV)1.9534809
Kurtosis21.928965
Mean4534.8353
Median Absolute Deviation (MAD)964.63
Skewness4.0977565
Sum2548577.4
Variance78476817
MonotonicityNot monotonic
2024-01-28T20:59:05.608755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11486.85 5
 
0.9%
684.0 4
 
0.7%
8400.88 3
 
0.5%
4996.67 3
 
0.5%
10284.56 3
 
0.5%
571.57 3
 
0.5%
26151.1 3
 
0.5%
96.0 3
 
0.5%
29.75 3
 
0.5%
1373.95 3
 
0.5%
Other values (506) 529
94.1%
ValueCountFrequency (%)
2.0 1
 
0.2%
20.0 1
 
0.2%
23.15 1
 
0.2%
27.0 2
0.4%
29.02 1
 
0.2%
29.75 3
0.5%
32.0 1
 
0.2%
49.97 1
 
0.2%
50.0 1
 
0.2%
59.5 1
 
0.2%
ValueCountFrequency (%)
82482.65 1
0.2%
66698.53 1
0.2%
52725.7 1
0.2%
49848.49 1
0.2%
49846.03 1
0.2%
48727.88 1
0.2%
48568.78 1
0.2%
42745.18 1
0.2%
41876.32 1
0.2%
39881.13 1
0.2%

구조
Categorical

Distinct15
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
철근콘크리트구조
230 
일반철골구조
207 
<NA>
38 
경량철골구조
32 
철골철근콘크리트구조
 
17
Other values (10)
38 

Length

Max length12
Median length11
Mean length6.7864769
Min length4

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 230
40.9%
일반철골구조 207
36.8%
<NA> 38
 
6.8%
경량철골구조 32
 
5.7%
철골철근콘크리트구조 17
 
3.0%
벽돌구조 17
 
3.0%
일반목구조 4
 
0.7%
강파이프구조 4
 
0.7%
조립식판넬조 3
 
0.5%
프리케스트콘크리트구조 3
 
0.5%
Other values (5) 7
 
1.2%

Length

2024-01-28T20:59:05.756636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 230
40.9%
일반철골구조 207
36.8%
na 38
 
6.8%
경량철골구조 32
 
5.7%
철골철근콘크리트구조 17
 
3.0%
벽돌구조 17
 
3.0%
일반목구조 4
 
0.7%
강파이프구조 4
 
0.7%
조립식판넬조 3
 
0.5%
프리케스트콘크리트구조 3
 
0.5%
Other values (5) 7
 
1.2%

허가일(신고)
Date

Distinct328
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2017-01-12 00:00:00
Maximum2023-07-31 00:00:00
2024-01-28T20:59:06.154687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:06.262598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

MISSING 

Distinct272
Distinct (%)73.9%
Missing194
Missing (%)34.5%
Memory size4.5 KiB
Minimum2017-02-16 00:00:00
Maximum2023-08-14 00:00:00
2024-01-28T20:59:06.368700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:06.479562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9697509
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-01-28T20:59:06.579992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile11
Maximum20
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3708633
Coefficient of variation (CV)0.84913725
Kurtosis5.5068234
Mean3.9697509
Median Absolute Deviation (MAD)1
Skewness2.2069669
Sum2231
Variance11.36272
MonotonicityNot monotonic
2024-01-28T20:59:06.675892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 139
24.7%
1 98
17.4%
5 86
15.3%
4 79
14.1%
3 76
13.5%
6 15
 
2.7%
8 14
 
2.5%
15 11
 
2.0%
10 9
 
1.6%
11 8
 
1.4%
Other values (8) 27
 
4.8%
ValueCountFrequency (%)
1 98
17.4%
2 139
24.7%
3 76
13.5%
4 79
14.1%
5 86
15.3%
6 15
 
2.7%
7 5
 
0.9%
8 14
 
2.5%
9 7
 
1.2%
10 9
 
1.6%
ValueCountFrequency (%)
20 2
 
0.4%
18 5
0.9%
16 1
 
0.2%
15 11
2.0%
14 2
 
0.4%
13 4
 
0.7%
12 1
 
0.2%
11 8
1.4%
10 9
1.6%
9 7
1.2%

최대지하층수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct6
Distinct (%)1.5%
Missing161
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.71321696
Minimum0
Maximum5
Zeros219
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-01-28T20:59:06.765038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0074968
Coefficient of variation (CV)1.4126092
Kurtosis2.8586872
Mean0.71321696
Median Absolute Deviation (MAD)0
Skewness1.704513
Sum286
Variance1.0150499
MonotonicityNot monotonic
2024-01-28T20:59:06.862072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 219
39.0%
1 121
21.5%
2 31
 
5.5%
3 19
 
3.4%
4 9
 
1.6%
5 2
 
0.4%
(Missing) 161
28.6%
ValueCountFrequency (%)
0 219
39.0%
1 121
21.5%
2 31
 
5.5%
3 19
 
3.4%
4 9
 
1.6%
5 2
 
0.4%
ValueCountFrequency (%)
5 2
 
0.4%
4 9
 
1.6%
3 19
 
3.4%
2 31
 
5.5%
1 121
21.5%
0 219
39.0%

주용도
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
공장
186 
제2종근린생활시설
86 
제1종근린생활시설
76 
단독주택
53 
공동주택
38 
Other values (21)
123 

Length

Max length10
Median length9
Mean length5.0587189
Min length2

Unique

Unique6 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
공장 186
33.1%
제2종근린생활시설 86
15.3%
제1종근린생활시설 76
13.5%
단독주택 53
 
9.4%
공동주택 38
 
6.8%
업무시설 23
 
4.1%
자동차관련시설 14
 
2.5%
노유자시설 13
 
2.3%
창고시설 11
 
2.0%
판매시설 9
 
1.6%
Other values (16) 53
 
9.4%

Length

2024-01-28T20:59:06.983439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장 186
33.1%
제2종근린생활시설 86
15.3%
제1종근린생활시설 76
13.5%
단독주택 53
 
9.4%
공동주택 38
 
6.8%
업무시설 23
 
4.1%
자동차관련시설 14
 
2.5%
노유자시설 13
 
2.3%
창고시설 11
 
2.0%
판매시설 9
 
1.6%
Other values (16) 53
 
9.4%

부속용도
Text

MISSING 

Distinct183
Distinct (%)56.0%
Missing235
Missing (%)41.8%
Memory size4.5 KiB
2024-01-28T20:59:07.168817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25
Mean length8.4892966
Min length2

Characters and Unicode

Total characters2776
Distinct characters160
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)42.8%

Sample

1st row다가구주택
2nd row단지형다세대
3rd row다세대주택
4th row일반음식점
5th row일반음식점
ValueCountFrequency (%)
사무소 20
 
4.9%
소매점 18
 
4.4%
제2종근린생활시설 14
 
3.4%
다세대주택 14
 
3.4%
오피스텔 13
 
3.2%
및 13
 
3.2%
공장 12
 
3.0%
일반음식점 11
 
2.7%
근린생활시설 11
 
2.7%
다가구주택 9
 
2.2%
Other values (164) 271
66.7%
2024-01-28T20:59:07.491261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 187
 
6.7%
설 172
 
6.2%
, 112
 
4.0%
주 99
 
3.6%
택 94
 
3.4%
활 89
 
3.2%
생 88
 
3.2%
84
 
3.0%
근 74
 
2.7%
린 74
 
2.7%
Other values (150) 1703
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2403
86.6%
Other Punctuation 118
 
4.3%
Space Separator 84
 
3.0%
Decimal Number 73
 
2.6%
Close Punctuation 45
 
1.6%
Open Punctuation 45
 
1.6%
Dash Punctuation 7
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 187
 
7.8%
설 172
 
7.2%
주 99
 
4.1%
택 94
 
3.9%
활 89
 
3.7%
생 88
 
3.7%
근 74
 
3.1%
린 74
 
3.1%
소 61
 
2.5%
제 58
 
2.4%
Other values (136) 1407
58.6%
Other Punctuation
ValueCountFrequency (%)
, 112
94.9%
/ 4
 
3.4%
· 1
 
0.8%
. 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 41
56.2%
1 30
41.1%
7 2
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 44
97.8%
] 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 44
97.8%
[ 1
 
2.2%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2403
86.6%
Common 373
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 187
 
7.8%
설 172
 
7.2%
주 99
 
4.1%
택 94
 
3.9%
활 89
 
3.7%
생 88
 
3.7%
근 74
 
3.1%
린 74
 
3.1%
소 61
 
2.5%
제 58
 
2.4%
Other values (136) 1407
58.6%
Common
ValueCountFrequency (%)
, 112
30.0%
84
22.5%
) 44
 
11.8%
( 44
 
11.8%
2 41
 
11.0%
1 30
 
8.0%
- 7
 
1.9%
/ 4
 
1.1%
7 2
 
0.5%
~ 1
 
0.3%
Other values (4) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2403
86.6%
ASCII 372
 
13.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 187
 
7.8%
설 172
 
7.2%
주 99
 
4.1%
택 94
 
3.9%
활 89
 
3.7%
생 88
 
3.7%
근 74
 
3.1%
린 74
 
3.1%
소 61
 
2.5%
제 58
 
2.4%
Other values (136) 1407
58.6%
ASCII
ValueCountFrequency (%)
, 112
30.1%
84
22.6%
) 44
 
11.8%
( 44
 
11.8%
2 41
 
11.0%
1 30
 
8.1%
- 7
 
1.9%
/ 4
 
1.1%
7 2
 
0.5%
~ 1
 
0.3%
Other values (3) 3
 
0.8%
None
ValueCountFrequency (%)
· 1
100.0%

설계자 전화번호
Text

MISSING 

Distinct202
Distinct (%)42.6%
Missing88
Missing (%)15.7%
Memory size4.5 KiB
2024-01-28T20:59:07.705264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.966245
Min length11

Characters and Unicode

Total characters5672
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)25.7%

Sample

1st row032-569-3315
2nd row032-551-9810
3rd row032-565-6707
4th row032-439-2727
5th row032-875-1000
ValueCountFrequency (%)
032-464-2328 40
 
8.4%
032-461-1275 15
 
3.2%
032-569-3315 12
 
2.5%
032-467-2434 11
 
2.3%
032-466-0011 11
 
2.3%
032-428-0978 9
 
1.9%
032-565-6707 8
 
1.7%
032-568-7184 8
 
1.7%
032-710-1478 8
 
1.7%
032-468-2258 7
 
1.5%
Other values (192) 345
72.8%
2024-01-28T20:59:08.044516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 948
16.7%
0 792
14.0%
2 782
13.8%
3 748
13.2%
4 529
9.3%
1 380
6.7%
5 360
 
6.3%
6 350
 
6.2%
7 344
 
6.1%
8 307
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4724
83.3%
Dash Punctuation 948
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 792
16.8%
2 782
16.6%
3 748
15.8%
4 529
11.2%
1 380
8.0%
5 360
7.6%
6 350
7.4%
7 344
7.3%
8 307
 
6.5%
9 132
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 948
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 948
16.7%
0 792
14.0%
2 782
13.8%
3 748
13.2%
4 529
9.3%
1 380
6.7%
5 360
 
6.3%
6 350
 
6.2%
7 344
 
6.1%
8 307
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 948
16.7%
0 792
14.0%
2 782
13.8%
3 748
13.2%
4 529
9.3%
1 380
6.7%
5 360
 
6.3%
6 350
 
6.2%
7 344
 
6.1%
8 307
 
5.4%

설계사무소명
Text

MISSING 

Distinct221
Distinct (%)49.6%
Missing116
Missing (%)20.6%
Memory size4.5 KiB
2024-01-28T20:59:08.245545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length9.9103139
Min length5

Characters and Unicode

Total characters4420
Distinct characters173
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)32.7%

Sample

1st row영진건축사사무소
2nd row지오디디 건축사사무소
3rd row토호건축사사무소
4th row한우리건축사사무소
5th row태영건축사사무소
ValueCountFrequency (%)
건축사사무소 67
 
12.3%
에이스건축사사무소 40
 
7.3%
주식회사 21
 
3.8%
에이원건축사사무소 17
 
3.1%
동성건축사사무소 9
 
1.6%
수왕건축사사무소 9
 
1.6%
영진건축사사무소 9
 
1.6%
지티(g.t)건축사사무소 8
 
1.5%
주)원명종합건축사사무소 7
 
1.3%
놀이터 6
 
1.1%
Other values (218) 353
64.7%
2024-01-28T20:59:08.597937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 910
20.6%
건 451
 
10.2%
축 445
 
10.1%
무 444
 
10.0%
소 442
 
10.0%
주 111
 
2.5%
이 101
 
2.3%
100
 
2.3%
) 84
 
1.9%
( 84
 
1.9%
Other values (163) 1248
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4097
92.7%
Space Separator 100
 
2.3%
Close Punctuation 84
 
1.9%
Open Punctuation 84
 
1.9%
Uppercase Letter 43
 
1.0%
Other Punctuation 9
 
0.2%
Decimal Number 2
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 910
22.2%
건 451
11.0%
축 445
10.9%
무 444
10.8%
소 442
10.8%
주 111
 
2.7%
이 101
 
2.5%
에 78
 
1.9%
스 55
 
1.3%
합 52
 
1.3%
Other values (145) 1008
24.6%
Uppercase Letter
ValueCountFrequency (%)
T 11
25.6%
G 8
18.6%
A 7
16.3%
S 4
 
9.3%
P 4
 
9.3%
H 3
 
7.0%
C 2
 
4.7%
N 1
 
2.3%
I 1
 
2.3%
E 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4097
92.7%
Common 280
 
6.3%
Latin 43
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 910
22.2%
건 451
11.0%
축 445
10.9%
무 444
10.8%
소 442
10.8%
주 111
 
2.7%
이 101
 
2.5%
에 78
 
1.9%
스 55
 
1.3%
합 52
 
1.3%
Other values (145) 1008
24.6%
Latin
ValueCountFrequency (%)
T 11
25.6%
G 8
18.6%
A 7
16.3%
S 4
 
9.3%
P 4
 
9.3%
H 3
 
7.0%
C 2
 
4.7%
N 1
 
2.3%
I 1
 
2.3%
E 1
 
2.3%
Common
ValueCountFrequency (%)
100
35.7%
) 84
30.0%
( 84
30.0%
. 9
 
3.2%
1 1
 
0.4%
2 1
 
0.4%
1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4097
92.7%
ASCII 323
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 910
22.2%
건 451
11.0%
축 445
10.9%
무 444
10.8%
소 442
10.8%
주 111
 
2.7%
이 101
 
2.5%
에 78
 
1.9%
스 55
 
1.3%
합 52
 
1.3%
Other values (145) 1008
24.6%
ASCII
ValueCountFrequency (%)
100
31.0%
) 84
26.0%
( 84
26.0%
T 11
 
3.4%
. 9
 
2.8%
G 8
 
2.5%
A 7
 
2.2%
S 4
 
1.2%
P 4
 
1.2%
H 3
 
0.9%
Other values (8) 9
 
2.8%

감리사무소명
Text

MISSING 

Distinct249
Distinct (%)84.7%
Missing268
Missing (%)47.7%
Memory size4.5 KiB
2024-01-28T20:59:08.841652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length9.5782313
Min length4

Characters and Unicode

Total characters2816
Distinct characters215
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)75.2%

Sample

1st row영진건축사사무소
2nd row주식회사 아키원건축사사무소
3rd row건축사사무소두울
4th rowXECT건축사사무소
5th row성민건축사사무소
ValueCountFrequency (%)
건축사사무소 48
 
12.9%
주식회사 21
 
5.6%
에이스건축사사무소 10
 
2.7%
동광종합건설주식회사 4
 
1.1%
에이원건축사사무소 4
 
1.1%
영진건축사사무소 4
 
1.1%
정감건축사사무소 3
 
0.8%
한영엔지니어링 3
 
0.8%
성복건축사사무소 3
 
0.8%
종합건축사사무소 3
 
0.8%
Other values (248) 270
72.4%
2024-01-28T20:59:09.197941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 435
15.4%
건 271
 
9.6%
무 201
 
7.1%
축 199
 
7.1%
소 197
 
7.0%
주 134
 
4.8%
) 94
 
3.3%
( 94
 
3.3%
85
 
3.0%
종 75
 
2.7%
Other values (205) 1031
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2516
89.3%
Close Punctuation 94
 
3.3%
Open Punctuation 94
 
3.3%
Space Separator 85
 
3.0%
Uppercase Letter 16
 
0.6%
Decimal Number 9
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 435
17.3%
건 271
 
10.8%
무 201
 
8.0%
축 199
 
7.9%
소 197
 
7.8%
주 134
 
5.3%
종 75
 
3.0%
합 73
 
2.9%
설 69
 
2.7%
이 60
 
2.4%
Other values (185) 802
31.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
C 3
18.8%
N 2
12.5%
M 1
 
6.2%
S 1
 
6.2%
P 1
 
6.2%
H 1
 
6.2%
T 1
 
6.2%
E 1
 
6.2%
X 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
4 2
22.2%
9 1
 
11.1%
1 1
 
11.1%
5 1
 
11.1%
2 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2516
89.3%
Common 284
 
10.1%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 435
17.3%
건 271
 
10.8%
무 201
 
8.0%
축 199
 
7.9%
소 197
 
7.8%
주 134
 
5.3%
종 75
 
3.0%
합 73
 
2.9%
설 69
 
2.7%
이 60
 
2.4%
Other values (185) 802
31.9%
Common
ValueCountFrequency (%)
) 94
33.1%
( 94
33.1%
85
29.9%
3 3
 
1.1%
. 2
 
0.7%
4 2
 
0.7%
9 1
 
0.4%
1 1
 
0.4%
5 1
 
0.4%
2 1
 
0.4%
Latin
ValueCountFrequency (%)
A 4
25.0%
C 3
18.8%
N 2
12.5%
M 1
 
6.2%
S 1
 
6.2%
P 1
 
6.2%
H 1
 
6.2%
T 1
 
6.2%
E 1
 
6.2%
X 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2516
89.3%
ASCII 300
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 435
17.3%
건 271
 
10.8%
무 201
 
8.0%
축 199
 
7.9%
소 197
 
7.8%
주 134
 
5.3%
종 75
 
3.0%
합 73
 
2.9%
설 69
 
2.7%
이 60
 
2.4%
Other values (185) 802
31.9%
ASCII
ValueCountFrequency (%)
) 94
31.3%
( 94
31.3%
85
28.3%
A 4
 
1.3%
3 3
 
1.0%
C 3
 
1.0%
. 2
 
0.7%
N 2
 
0.7%
4 2
 
0.7%
9 1
 
0.3%
Other values (10) 10
 
3.3%

시공자사무소명
Text

MISSING 

Distinct149
Distinct (%)76.4%
Missing367
Missing (%)65.3%
Memory size4.5 KiB
2024-01-28T20:59:09.401157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.5538462
Min length3

Characters and Unicode

Total characters1473
Distinct characters182
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)67.2%

Sample

1st row대우종합건설(주)
2nd row삼성탑종합건설(주)
3rd row(주)우정종합건설
4th row(주)누리종합건설
5th row(주)지엔건설
ValueCountFrequency (%)
대홍건설(주 12
 
6.0%
정성훈 8
 
4.0%
대우종합건설(주 5
 
2.5%
주)렉스건설 5
 
2.5%
채원종합건설(주 4
 
2.0%
주식회사 4
 
2.0%
아라종합건설(주 4
 
2.0%
주)씨알케이종합건설 3
 
1.5%
주)우정종합건설 3
 
1.5%
삼성탑종합건설(주 2
 
1.0%
Other values (140) 149
74.9%
2024-01-28T20:59:09.745964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 166
 
11.3%
( 140
 
9.5%
) 140
 
9.5%
건 118
 
8.0%
설 115
 
7.8%
종 77
 
5.2%
합 74
 
5.0%
이 35
 
2.4%
대 30
 
2.0%
회 21
 
1.4%
Other values (172) 557
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1185
80.4%
Open Punctuation 140
 
9.5%
Close Punctuation 140
 
9.5%
Space Separator 4
 
0.3%
Decimal Number 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 166
 
14.0%
건 118
 
10.0%
설 115
 
9.7%
종 77
 
6.5%
합 74
 
6.2%
이 35
 
3.0%
대 30
 
2.5%
회 21
 
1.8%
식 21
 
1.8%
사 20
 
1.7%
Other values (167) 508
42.9%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1185
80.4%
Common 287
 
19.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 166
 
14.0%
건 118
 
10.0%
설 115
 
9.7%
종 77
 
6.5%
합 74
 
6.2%
이 35
 
3.0%
대 30
 
2.5%
회 21
 
1.8%
식 21
 
1.8%
사 20
 
1.7%
Other values (167) 508
42.9%
Common
ValueCountFrequency (%)
( 140
48.8%
) 140
48.8%
4
 
1.4%
1 3
 
1.0%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1185
80.4%
ASCII 288
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 166
 
14.0%
건 118
 
10.0%
설 115
 
9.7%
종 77
 
6.5%
합 74
 
6.2%
이 35
 
3.0%
대 30
 
2.5%
회 21
 
1.8%
식 21
 
1.8%
사 20
 
1.7%
Other values (167) 508
42.9%
ASCII
ValueCountFrequency (%)
( 140
48.6%
) 140
48.6%
4
 
1.4%
1 3
 
1.0%
C 1
 
0.3%

Interactions

2024-01-28T20:59:02.815482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.299874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.685428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.061367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.416231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.892505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.377583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.762077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.130114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.499579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.964534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.454068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.835274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.198081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.580379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:03.040164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.532292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.908588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.263526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.660499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:03.116203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.612354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:01.988276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.342241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:59:02.742219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:59:09.833423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록구분건축구분지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조최대지상층수최대지하층수주용도
등록구분1.0000.7060.4030.0000.0000.2450.5610.4190.4670.555
건축구분0.7061.0000.6280.0000.0000.2430.5190.4310.6130.611
지목0.4030.6281.0000.8340.0000.0000.7560.1710.2620.892
대지면적(제곱미터)0.0000.0000.8341.0000.0000.2740.0000.0000.0890.737
건축면적(제곱미터)0.0000.0000.0000.0001.0000.6490.6660.0000.0000.457
연면적(제곱미터)0.2450.2430.0000.2740.6491.0000.6830.6090.5870.435
구조0.5610.5190.7560.0000.6660.6831.0000.4980.5880.615
최대지상층수0.4190.4310.1710.0000.0000.6090.4981.0000.6670.702
최대지하층수0.4670.6130.2620.0890.0000.5870.5880.6671.0000.662
주용도0.5550.6110.8920.7370.4570.4350.6150.7020.6621.000
2024-01-28T20:59:09.940048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목등록구분건축구분구조주용도
지목1.0000.2370.3860.2900.529
등록구분0.2371.0000.6430.3490.317
건축구분0.3860.6431.0000.3000.340
구조0.2900.3490.3001.0000.237
주용도0.5290.3170.3400.2371.000
2024-01-28T20:59:10.030192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)최대지상층수최대지하층수등록구분건축구분지목구조주용도
대지면적(제곱미터)1.0000.9020.7730.0790.3470.0000.0000.6020.0000.434
건축면적(제곱미터)0.9021.0000.8930.2140.4340.0000.0000.0000.4770.259
연면적(제곱미터)0.7730.8931.0000.5620.6430.1580.1420.0000.3830.176
최대지상층수0.0790.2140.5621.0000.5650.2620.1920.0690.2250.336
최대지하층수0.3470.4340.6430.5651.0000.3170.4420.1310.3480.361
등록구분0.0000.0000.1580.2620.3171.0000.6430.2370.3490.317
건축구분0.0000.0000.1420.1920.4420.6431.0000.3860.3000.340
지목0.6020.0000.0000.0690.1310.2370.3861.0000.2900.529
구조0.0000.4770.3830.2250.3480.3490.3000.2901.0000.237
주용도0.4340.2590.1760.3360.3610.3170.3400.5290.2371.000

Missing values

2024-01-28T20:59:03.221732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:59:03.429294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-01-28T20:59:03.567503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

등록구분건축구분대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조허가일(신고)착공처리일최대지상층수최대지하층수주용도부속용도설계자 전화번호설계사무소명감리사무소명시공자사무소명
0건축허가대수선인천광역시 남동구 논현동 438-1공장용지1652.01234.61499.2일반철골구조2021-11-162021-11-192<NA>공장<NA>032-569-3315영진건축사사무소영진건축사사무소대우종합건설(주)
1건축허가대수선인천광역시 남동구 구월동 1146대2084.01261.4620397.29철근콘크리트구조2021-08-302021-09-03202업무시설<NA><NA>지오디디 건축사사무소<NA><NA>
2건축허가대수선인천광역시 남동구 간석동 616-3대36918.927068.4842745.18콘크리트구조2021-07-292021-08-0431판매시설<NA><NA>토호건축사사무소<NA><NA>
3건축허가신축인천광역시 남동구 간석동 268-23대191.6114.3187.32일반철골구조2021-07-292021-08-1220단독주택다가구주택032-551-9810한우리건축사사무소주식회사 아키원건축사사무소삼성탑종합건설(주)
4건축허가신축인천광역시 남동구 간석동 63-9 외1필지대328.1195.94656.01철근콘크리트구조2021-07-192021-07-2750공동주택단지형다세대032-565-6707태영건축사사무소건축사사무소두울(주)우정종합건설
5건축허가증축인천광역시 남동구 고잔동 727-14공장용지1650.61231.721310.92일반철골구조2021-07-062021-07-161<NA>공장<NA>032-439-2727종합건축사사무소에이스XECT건축사사무소(주)누리종합건설
6건축허가신축인천광역시 남동구 구월동 6-14대294.5174.84724.52철근콘크리트구조2021-07-062021-07-1950공동주택다세대주택032-875-1000주식회사 천년종합건축사사무소성민건축사사무소(주)지엔건설
7건축허가증축인천광역시 남동구 고잔동 715-8공장용지3013.92089.382295.58일반철골구조2021-07-052021-07-212<NA>공장<NA>032-467-4433호미건축사사무소성복건축사사무소(주)청명종합건설
8건축허가증축인천광역시 남동구 고잔동 709-2공장용지836.9597.63630.03일반철골구조2021-07-012021-07-1910공장<NA>032-569-3315영진건축사사무소(주)원명종합건축사사무소<NA>
9건축허가증축인천광역시 남동구 고잔동 679-6공장용지1733.7979.61656.31일반철골구조2021-06-292021-07-0821공장<NA>032-464-2328에이스건축사사무소에이스건축사사무소(주)신강이엔씨
등록구분건축구분대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조허가일(신고)착공처리일최대지상층수최대지하층수주용도부속용도설계자 전화번호설계사무소명감리사무소명시공자사무소명
552용도변경신고용도변경인천광역시 남동구 논현동 631-5대825.1573.296025.14철근콘크리트구조2022-09-01<NA>83제1종근린생활시설<NA>032-881-9903광덕건축사사무소<NA><NA>
553용도변경신고용도변경인천광역시 남동구 간석동 224-462대727.0423.56791.18<NA>2022-08-30<NA>2<NA>노유자시설<NA>032-876-7066주식회사이드건축사사무소<NA><NA>
554용도변경신고용도변경인천광역시 남동구 고잔동 207 외1필지대668.0295.72692.27일반철골구조2022-08-25<NA>3<NA>공장제2종근린생활시설063-858-4343우리 건축사사무소<NA><NA>
555건축신고증축인천광역시 남동구 고잔동 682-7공장용지1678.21335.392345.28일반철골구조2022-08-172022-08-261<NA>공장<NA>031-403-6698이안건축사사무소주식회사광성정밀도장<NA>
556건축신고신축인천광역시 남동구 고잔동 409-35잡종지1316.062.6298.24일반철골구조2022-08-17<NA>20제2종근린생활시설사무소032-464-2328에이스건축사사무소<NA><NA>
557건축신고증축인천광역시 남동구 고잔동 677-3공장용지8306.55411.9719644.72경량철골구조2022-08-172022-09-211<NA>공장<NA>032-710-1478건축사사무소 놀이터<NA><NA>
558건축신고증축인천광역시 남동구 고잔동 707-9공장용지6597.22492.263047.52경량철골구조2022-08-162022-09-012<NA>공장<NA>032-503-3441건축사사무소다남(주)<NA><NA>
559건축신고증축인천광역시 남동구 고잔동 246-13공장용지21053.014621.128034.55철근콘크리트구조2022-08-122022-08-2350공장<NA>032-461-1275에이원건축사사무소<NA><NA>
560용도변경신고용도변경인천광역시 남동구 만수동 933-18대205.1120.52218.34벽돌구조2022-08-12<NA>2<NA>제2종근린생활시설<NA>032-523-7790(주)미래환경종합건축사사무소<NA><NA>
561용도변경신고용도변경인천광역시 남동구 간석동 921-8대237.1162.06796.53<NA>2022-08-12<NA>41숙박시설여관<NA>지티(G.T)건축사사무소<NA><NA>

Duplicate rows

Most frequently occurring

등록구분건축구분대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조허가일(신고)착공처리일최대지상층수최대지하층수주용도부속용도설계자 전화번호설계사무소명감리사무소명시공자사무소명# duplicates
2용도변경신고용도변경인천광역시 남동구 구월동 1519대3023.01807.2310284.56철근콘크리트구조2023-03-09<NA>51교육연구시설근린생활시설,운동시설032-551-9810한우리건축사사무소<NA><NA>3
0건축허가신축인천광역시 남동구 장수동 624-1전315.5177.0177.0일반철골구조2022-09-02<NA>10단독주택<NA>032-472-8414<NA><NA><NA>2
1용도변경신고용도변경인천광역시 남동구 고잔동 738-17공장용지3995.13194.438400.88철골철근콘크리트구조2022-11-11<NA>5<NA>자동차관련시설위험물저장및처리시설, 창고시설032-710-1478건축사사무소 놀이터<NA><NA>2
3용도변경신고용도변경인천광역시 남동구 서창동 704-2대1438.1986.054996.67철근콘크리트구조2022-11-07<NA>51제2종근린생활시설제1종근린 및 운동시설032-464-5104도일건축사사무소<NA><NA>2