Overview

Dataset statistics

Number of variables25
Number of observations37
Missing cells66
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory216.6 B

Variable types

Categorical11
Text5
Numeric8
DateTime1

Dataset

Description부산광역시_기장군_건축신고현황_201711
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3082033

Alerts

세대수 is highly imbalanced (63.3%)Imbalance
호수 is highly imbalanced (73.3%)Imbalance
최고높이(m) has 2 (5.4%) missing valuesMissing
부속용도 has 20 (54.1%) missing valuesMissing
용도지구 has 34 (91.9%) missing valuesMissing
총주차대수 has 10 (27.0%) missing valuesMissing
신고번호 has unique valuesUnique
동수 has 1 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-10 16:56:50.479977
Analysis finished2023-12-10 16:56:51.001797
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
신축
22 
증축
10 
용도변경
5 

Length

Max length4
Median length2
Mean length2.2702703
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 22
59.5%
증축 10
27.0%
용도변경 5
 
13.5%

Length

2023-12-11T01:56:51.135498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:51.357663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 22
59.5%
증축 10
27.0%
용도변경 5
 
13.5%

신고번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T01:56:51.713447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length19.432432
Min length18

Characters and Unicode

Total characters719
Distinct characters37
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row2017-창조건축과-용도변경신고-28
2nd row2017-창조건축과-신축신고-148
3rd row2017-창조건축과-증축신고-80
4th row2017-창조건축과-용도변경신고-27
5th row2017-창조건축과-용도변경신고-26
ValueCountFrequency (%)
2017-창조건축과-개발제한구역내 3
 
7.5%
2017-창조건축과-용도변경신고-28 1
 
2.5%
2017-창조건축과-신축신고-140 1
 
2.5%
2017-창조건축과-증축신고-72 1
 
2.5%
2017-창조건축과-증축신고-73 1
 
2.5%
2017-창조건축과-신축신고-136 1
 
2.5%
2017-창조건축과-신축신고-137 1
 
2.5%
2017-창조건축과-신축신고-138 1
 
2.5%
2017-창조건축과-신축신고-139 1
 
2.5%
2017-창조건축과-신축신고-141 1
 
2.5%
Other values (28) 28
70.0%
2023-12-11T01:56:52.399660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 111
15.4%
축 69
 
9.6%
1 59
 
8.2%
신 56
 
7.8%
7 51
 
7.1%
2 44
 
6.1%
건 40
 
5.6%
0 40
 
5.6%
창 37
 
5.1%
조 37
 
5.1%
Other values (27) 175
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
50.9%
Decimal Number 237
33.0%
Dash Punctuation 111
 
15.4%
Space Separator 3
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 69
18.9%
신 56
15.3%
건 40
10.9%
창 37
10.1%
조 37
10.1%
과 37
10.1%
고 37
10.1%
증 10
 
2.7%
경 5
 
1.4%
용 4
 
1.1%
Other values (13) 34
9.3%
Decimal Number
ValueCountFrequency (%)
1 59
24.9%
7 51
21.5%
2 44
18.6%
0 40
16.9%
3 13
 
5.5%
4 12
 
5.1%
6 6
 
2.5%
8 6
 
2.5%
5 4
 
1.7%
9 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
50.9%
Common 353
49.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 69
18.9%
신 56
15.3%
건 40
10.9%
창 37
10.1%
조 37
10.1%
과 37
10.1%
고 37
10.1%
증 10
 
2.7%
경 5
 
1.4%
용 4
 
1.1%
Other values (13) 34
9.3%
Common
ValueCountFrequency (%)
- 111
31.4%
1 59
16.7%
7 51
14.4%
2 44
 
12.5%
0 40
 
11.3%
3 13
 
3.7%
4 12
 
3.4%
6 6
 
1.7%
8 6
 
1.7%
5 4
 
1.1%
Other values (4) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
50.9%
ASCII 353
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 111
31.4%
1 59
16.7%
7 51
14.4%
2 44
 
12.5%
0 40
 
11.3%
3 13
 
3.7%
4 12
 
3.4%
6 6
 
1.7%
8 6
 
1.7%
5 4
 
1.1%
Other values (4) 7
 
2.0%
Hangul
ValueCountFrequency (%)
축 69
18.9%
신 56
15.3%
건 40
10.9%
창 37
10.1%
조 37
10.1%
과 37
10.1%
고 37
10.1%
증 10
 
2.7%
경 5
 
1.4%
용 4
 
1.1%
Other values (13) 34
9.3%

대지위치
Text

Distinct29
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T01:56:52.713534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.027027
Min length20

Characters and Unicode

Total characters889
Distinct characters56
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

Unique26 ?
Unique (%)70.3%

Sample

1st row부산광역시 기장군 기장읍 동부리 393-1
2nd row부산광역시 기장군 기장읍 만화리 412-4 외1필지
3rd row부산광역시 기장군 일광면 이천리 241
4th row부산광역시 기장군 장안읍 길천리 376-3
5th row부산광역시 기장군 정관읍 매학리 717-2
ValueCountFrequency (%)
부산광역시 37
18.7%
기장군 37
18.7%
정관읍 16
 
8.1%
예림리 12
 
6.1%
23-3 11
 
5.6%
외1필지 8
 
4.0%
일광면 7
 
3.5%
기장읍 5
 
2.5%
장안읍 5
 
2.5%
철마면 4
 
2.0%
Other values (46) 56
28.3%
2023-12-11T01:56:53.228921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
18.1%
장 49
 
5.5%
광 44
 
4.9%
기 43
 
4.8%
3 40
 
4.5%
부 38
 
4.3%
리 37
 
4.2%
역 37
 
4.2%
시 37
 
4.2%
군 37
 
4.2%
Other values (46) 366
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
62.2%
Space Separator 161
 
18.1%
Decimal Number 144
 
16.2%
Dash Punctuation 31
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 49
 
8.9%
광 44
 
8.0%
기 43
 
7.8%
부 38
 
6.9%
리 37
 
6.7%
역 37
 
6.7%
시 37
 
6.7%
군 37
 
6.7%
산 37
 
6.7%
읍 26
 
4.7%
Other values (34) 168
30.4%
Decimal Number
ValueCountFrequency (%)
3 40
27.8%
1 28
19.4%
2 24
16.7%
4 16
 
11.1%
5 9
 
6.2%
7 7
 
4.9%
9 7
 
4.9%
8 5
 
3.5%
0 5
 
3.5%
6 3
 
2.1%
Space Separator
ValueCountFrequency (%)
161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
62.2%
Common 336
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 49
 
8.9%
광 44
 
8.0%
기 43
 
7.8%
부 38
 
6.9%
리 37
 
6.7%
역 37
 
6.7%
시 37
 
6.7%
군 37
 
6.7%
산 37
 
6.7%
읍 26
 
4.7%
Other values (34) 168
30.4%
Common
ValueCountFrequency (%)
161
47.9%
3 40
 
11.9%
- 31
 
9.2%
1 28
 
8.3%
2 24
 
7.1%
4 16
 
4.8%
5 9
 
2.7%
7 7
 
2.1%
9 7
 
2.1%
8 5
 
1.5%
Other values (2) 8
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
62.2%
ASCII 336
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
47.9%
3 40
 
11.9%
- 31
 
9.2%
1 28
 
8.3%
2 24
 
7.1%
4 16
 
4.8%
5 9
 
2.7%
7 7
 
2.1%
9 7
 
2.1%
8 5
 
1.5%
Other values (2) 8
 
2.4%
Hangul
ValueCountFrequency (%)
장 49
 
8.9%
광 44
 
8.0%
기 43
 
7.8%
부 38
 
6.9%
리 37
 
6.7%
역 37
 
6.7%
시 37
 
6.7%
군 37
 
6.7%
산 37
 
6.7%
읍 26
 
4.7%
Other values (34) 168
30.4%

지목
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
대
17 
답
12 
전
6 
공장용지
 
1
종교용지
 
1

Length

Max length4
Median length1
Mean length1.1621622
Min length1

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
대 17
45.9%
답 12
32.4%
전 6
 
16.2%
공장용지 1
 
2.7%
종교용지 1
 
2.7%

Length

2023-12-11T01:56:53.436988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:53.611526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 17
45.9%
답 12
32.4%
전 6
 
16.2%
공장용지 1
 
2.7%
종교용지 1
 
2.7%

대지면적(㎡)
Real number (ℝ)

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26109.203
Minimum56
Maximum948613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:53.805526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile92.8
Q1327
median447
Q3565
95-th percentile1443.48
Maximum948613
Range948557
Interquartile range (IQR)238

Descriptive statistics

Standard deviation155871.77
Coefficient of variation (CV)5.9699935
Kurtosis36.999651
Mean26109.203
Median Absolute Deviation (MAD)120
Skewness6.0827207
Sum966040.5
Variance2.4296009 × 1010
MonotonicityNot monotonic
2023-12-11T01:56:54.015084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
520.0 3
 
8.1%
528.0 2
 
5.4%
369.0 2
 
5.4%
657.0 1
 
2.7%
639.0 1
 
2.7%
387.7 1
 
2.7%
327.0 1
 
2.7%
475.0 1
 
2.7%
659.0 1
 
2.7%
539.0 1
 
2.7%
Other values (23) 23
62.2%
ValueCountFrequency (%)
56.0 1
2.7%
88.0 1
2.7%
94.0 1
2.7%
162.0 1
2.7%
180.0 1
2.7%
199.0 1
2.7%
233.0 1
2.7%
271.7 1
2.7%
299.0 1
2.7%
327.0 1
2.7%
ValueCountFrequency (%)
948613.0 1
2.7%
1687.0 1
2.7%
1382.6 1
2.7%
1005.0 1
2.7%
819.0 1
2.7%
659.0 1
2.7%
657.0 1
2.7%
639.0 1
2.7%
583.0 1
2.7%
565.0 1
2.7%

건축면적(㎡)
Real number (ℝ)

Distinct28
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3121.9427
Minimum31.5
Maximum110572.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:54.217227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.5
5-th percentile32.336
Q160
median67.5
Q3166.66
95-th percentile585.8
Maximum110572.57
Range110541.07
Interquartile range (IQR)106.66

Descriptive statistics

Standard deviation18156.407
Coefficient of variation (CV)5.8157399
Kurtosis36.991641
Mean3121.9427
Median Absolute Deviation (MAD)29.52
Skewness6.0817639
Sum115511.88
Variance3.296551 × 108
MonotonicityNot monotonic
2023-12-11T01:56:54.432758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
60.0 10
27.0%
233.5 1
 
2.7%
162.03 1
 
2.7%
176.4 1
 
2.7%
32.0 1
 
2.7%
65.43 1
 
2.7%
40.0 1
 
2.7%
173.64 1
 
2.7%
307.32 1
 
2.7%
165.6 1
 
2.7%
Other values (18) 18
48.6%
ValueCountFrequency (%)
31.5 1
 
2.7%
32.0 1
 
2.7%
32.42 1
 
2.7%
40.0 1
 
2.7%
44.0 1
 
2.7%
44.06 1
 
2.7%
49.8 1
 
2.7%
60.0 10
27.0%
65.43 1
 
2.7%
67.5 1
 
2.7%
ValueCountFrequency (%)
110572.57 1
2.7%
1104.04 1
2.7%
456.24 1
2.7%
307.32 1
2.7%
233.5 1
2.7%
198.96 1
2.7%
182.87 1
2.7%
176.4 1
2.7%
173.64 1
2.7%
166.66 1
2.7%

연면적(㎡)
Real number (ℝ)

Distinct28
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6725.3314
Minimum31.5
Maximum235423.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:54.627239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.5
5-th percentile38.4
Q160
median68.72
Q3190.8
95-th percentile2634.768
Maximum235423.82
Range235392.32
Interquartile range (IQR)130.8

Descriptive statistics

Standard deviation38657.781
Coefficient of variation (CV)5.7480857
Kurtosis36.935135
Mean6725.3314
Median Absolute Deviation (MAD)28.3
Skewness6.0751071
Sum248837.26
Variance1.4944241 × 109
MonotonicityNot monotonic
2023-12-11T01:56:54.822408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
60.0 10
27.0%
1636.56 1
 
2.7%
558.17 1
 
2.7%
318.42 1
 
2.7%
32.0 1
 
2.7%
65.43 1
 
2.7%
40.0 1
 
2.7%
190.8 1
 
2.7%
482.72 1
 
2.7%
165.6 1
 
2.7%
Other values (18) 18
48.6%
ValueCountFrequency (%)
31.5 1
 
2.7%
32.0 1
 
2.7%
40.0 1
 
2.7%
44.0 1
 
2.7%
49.8 1
 
2.7%
59.52 1
 
2.7%
60.0 10
27.0%
65.43 1
 
2.7%
67.5 1
 
2.7%
68.72 1
 
2.7%
ValueCountFrequency (%)
235423.82 1
2.7%
6627.6 1
2.7%
1636.56 1
2.7%
720.67 1
2.7%
594.84 1
2.7%
558.17 1
2.7%
482.72 1
2.7%
318.42 1
2.7%
227.65 1
2.7%
190.8 1
2.7%

건폐율(%)
Real number (ℝ)

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.086754
Minimum5.33
Maximum79.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:55.007367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.33
5-th percentile9.124
Q111.65
median20.89
Q345.4
95-th percentile59.128
Maximum79.85
Range74.52
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation19.20864
Coefficient of variation (CV)0.66039132
Kurtosis-0.44160833
Mean29.086754
Median Absolute Deviation (MAD)10.6
Skewness0.7229675
Sum1076.2099
Variance368.97185
MonotonicityNot monotonic
2023-12-11T01:56:55.219473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
11.54 3
 
8.1%
11.36 2
 
5.4%
9.13 1
 
2.7%
50.18 1
 
2.7%
48.09 1
 
2.7%
44.79 1
 
2.7%
12.23 1
 
2.7%
12.63 1
 
2.7%
9.1 1
 
2.7%
43.32 1
 
2.7%
Other values (24) 24
64.9%
ValueCountFrequency (%)
5.33 1
 
2.7%
9.1 1
 
2.7%
9.13 1
 
2.7%
10.29 1
 
2.7%
11.36 2
5.4%
11.54 3
8.1%
11.65 1
 
2.7%
12.23 1
 
2.7%
12.63 1
 
2.7%
13.5 1
 
2.7%
ValueCountFrequency (%)
79.85 1
2.7%
59.64 1
2.7%
59.0 1
2.7%
57.89 1
2.7%
50.18 1
2.7%
50.05 1
2.7%
50.0 1
2.7%
49.56 1
2.7%
48.09 1
2.7%
45.4 1
2.7%

용적률(%)
Real number (ℝ)

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.036814
Minimum5.33
Maximum384.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:55.474966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.33
5-th percentile9.124
Q112.23
median24.18
Q350.18
95-th percentile206.32
Maximum384.58
Range379.25
Interquartile range (IQR)37.95

Descriptive statistics

Standard deviation75.433622
Coefficient of variation (CV)1.3959673
Kurtosis10.11679
Mean54.036814
Median Absolute Deviation (MAD)12.82
Skewness2.9584244
Sum1999.3621
Variance5690.2313
MonotonicityNot monotonic
2023-12-11T01:56:55.697921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
11.54 3
 
8.1%
11.36 2
 
5.4%
9.13 1
 
2.7%
50.18 1
 
2.7%
75.54 1
 
2.7%
49.21 1
 
2.7%
12.23 1
 
2.7%
12.63 1
 
2.7%
9.1 1
 
2.7%
209.84 1
 
2.7%
Other values (24) 24
64.9%
ValueCountFrequency (%)
5.33 1
 
2.7%
9.1 1
 
2.7%
9.13 1
 
2.7%
10.29 1
 
2.7%
11.36 2
5.4%
11.54 3
8.1%
12.23 1
 
2.7%
12.63 1
 
2.7%
13.5 1
 
2.7%
13.66 1
 
2.7%
ValueCountFrequency (%)
384.58 1
2.7%
209.84 1
2.7%
205.44 1
2.7%
149.65 1
2.7%
106.49 1
2.7%
106.29 1
2.7%
75.54 1
2.7%
71.71 1
2.7%
61.69 1
2.7%
50.18 1
2.7%

구조
Categorical

Distinct9
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
경량철골구조
18 
철근콘크리트구조
8 
일반철골구조
3 
일반목구조
2 
<NA>
2 
Other values (4)
4 

Length

Max length11
Median length6
Mean length6.2432432
Min length4

Unique

Unique4 ?
Unique (%)10.8%

Sample

1st row프리케스트콘크리트구조
2nd row일반목구조
3rd row경량철골구조
4th row<NA>
5th row철근콘크리트구조

Common Values

ValueCountFrequency (%)
경량철골구조 18
48.6%
철근콘크리트구조 8
21.6%
일반철골구조 3
 
8.1%
일반목구조 2
 
5.4%
<NA> 2
 
5.4%
프리케스트콘크리트구조 1
 
2.7%
벽돌구조 1
 
2.7%
블록구조 1
 
2.7%
기타구조 1
 
2.7%

Length

2023-12-11T01:56:55.909759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:56.119788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경량철골구조 18
48.6%
철근콘크리트구조 8
21.6%
일반철골구조 3
 
8.1%
일반목구조 2
 
5.4%
na 2
 
5.4%
프리케스트콘크리트구조 1
 
2.7%
벽돌구조 1
 
2.7%
블록구조 1
 
2.7%
기타구조 1
 
2.7%

신고일
Date

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2017-11-01 00:00:00
Maximum2017-11-29 00:00:00
2023-12-11T01:56:56.339719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:56:56.515594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

최대지상층수
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
26 
2
6 
5
3 
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row5
2nd row1
3rd row1
4th row2
5th row5

Common Values

ValueCountFrequency (%)
1 26
70.3%
2 6
 
16.2%
5 3
 
8.1%
4 1
 
2.7%
3 1
 
2.7%

Length

2023-12-11T01:56:56.698527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:56.864925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
70.3%
2 6
 
16.2%
5 3
 
8.1%
4 1
 
2.7%
3 1
 
2.7%

최대지하층수
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
0
23 
<NA>
12 
2
 
1
1
 
1

Length

Max length4
Median length1
Mean length1.972973
Min length1

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row2
2nd row0
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
0 23
62.2%
<NA> 12
32.4%
2 1
 
2.7%
1 1
 
2.7%

Length

2023-12-11T01:56:57.056751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:57.262498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
62.2%
na 12
32.4%
2 1
 
2.7%
1 1
 
2.7%

최고높이(m)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)62.9%
Missing2
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean6.81
Minimum3.2
Maximum27.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:57.445080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.308
Q14.3
median4.3
Q36.47
95-th percentile18.33
Maximum27.1
Range23.9
Interquartile range (IQR)2.17

Descriptive statistics

Standard deviation5.4330313
Coefficient of variation (CV)0.79780196
Kurtosis6.5502725
Mean6.81
Median Absolute Deviation (MAD)0.55
Skewness2.5637247
Sum238.35
Variance29.517829
MonotonicityNot monotonic
2023-12-11T01:56:57.635887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4.3 13
35.1%
4.9 2
 
5.4%
13.3 1
 
2.7%
22.6 1
 
2.7%
6.6 1
 
2.7%
5.2 1
 
2.7%
5.0 1
 
2.7%
8.7 1
 
2.7%
4.4 1
 
2.7%
3.75 1
 
2.7%
Other values (12) 12
32.4%
(Missing) 2
 
5.4%
ValueCountFrequency (%)
3.2 1
 
2.7%
3.21 1
 
2.7%
3.35 1
 
2.7%
3.75 1
 
2.7%
3.95 1
 
2.7%
4.3 13
35.1%
4.4 1
 
2.7%
4.5 1
 
2.7%
4.8 1
 
2.7%
4.9 2
 
5.4%
ValueCountFrequency (%)
27.1 1
2.7%
22.6 1
2.7%
16.5 1
2.7%
13.3 1
2.7%
11.4 1
2.7%
10.55 1
2.7%
8.7 1
2.7%
8.2 1
2.7%
6.6 1
2.7%
6.34 1
2.7%

동수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6486486
Minimum0
Maximum125
Zeros1
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:57.816666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3.2
Maximum125
Range125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.350015
Coefficient of variation (CV)4.3776196
Kurtosis36.883404
Mean4.6486486
Median Absolute Deviation (MAD)0
Skewness6.0688798
Sum172
Variance414.12312
MonotonicityNot monotonic
2023-12-11T01:56:58.020109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 28
75.7%
2 3
 
8.1%
3 3
 
8.1%
0 1
 
2.7%
125 1
 
2.7%
4 1
 
2.7%
ValueCountFrequency (%)
0 1
 
2.7%
1 28
75.7%
2 3
 
8.1%
3 3
 
8.1%
4 1
 
2.7%
125 1
 
2.7%
ValueCountFrequency (%)
125 1
 
2.7%
4 1
 
2.7%
3 3
 
8.1%
2 3
 
8.1%
1 28
75.7%
0 1
 
2.7%

주용도
Categorical

Distinct7
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
단독주택
24 
제2종근린생활시설
6 
창고시설
3 
숙박시설
 
1
제1종근린생활시설
 
1
Other values (2)
 
2

Length

Max length9
Median length4
Mean length4.972973
Min length4

Unique

Unique4 ?
Unique (%)10.8%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 24
64.9%
제2종근린생활시설 6
 
16.2%
창고시설 3
 
8.1%
숙박시설 1
 
2.7%
제1종근린생활시설 1
 
2.7%
노유자시설 1
 
2.7%
발전시설 1
 
2.7%

Length

2023-12-11T01:56:58.262245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:58.484899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 24
64.9%
제2종근린생활시설 6
 
16.2%
창고시설 3
 
8.1%
숙박시설 1
 
2.7%
제1종근린생활시설 1
 
2.7%
노유자시설 1
 
2.7%
발전시설 1
 
2.7%

부속용도
Text

MISSING 

Distinct11
Distinct (%)64.7%
Missing20
Missing (%)54.1%
Memory size428.0 B
2023-12-11T01:56:58.734080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length4.7647059
Min length2

Characters and Unicode

Total characters81
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)52.9%

Sample

1st row및 동.식물관련시설
2nd row노유자시설
3rd row의원
4th row일반음식점
5th row단독주택
ValueCountFrequency (%)
단독주택 5
25.0%
사무소 4
20.0%
창고 2
 
10.0%
및 1
 
5.0%
동.식물관련시설 1
 
5.0%
노유자시설 1
 
5.0%
의원 1
 
5.0%
일반음식점 1
 
5.0%
어린이집 1
 
5.0%
발전소(탁구장 1
 
5.0%
Other values (2) 2
 
10.0%
2023-12-11T01:56:59.217595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 6
 
7.4%
단 5
 
6.2%
택 5
 
6.2%
독 5
 
6.2%
주 5
 
6.2%
사 4
 
4.9%
무 4
 
4.9%
4
 
4.9%
, 2
 
2.5%
고 2
 
2.5%
Other values (33) 39
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
88.9%
Space Separator 4
 
4.9%
Other Punctuation 3
 
3.7%
Open Punctuation 1
 
1.2%
Close Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 6
 
8.3%
단 5
 
6.9%
택 5
 
6.9%
독 5
 
6.9%
주 5
 
6.9%
사 4
 
5.6%
무 4
 
5.6%
고 2
 
2.8%
식 2
 
2.8%
점 2
 
2.8%
Other values (28) 32
44.4%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
88.9%
Common 9
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 6
 
8.3%
단 5
 
6.9%
택 5
 
6.9%
독 5
 
6.9%
주 5
 
6.9%
사 4
 
5.6%
무 4
 
5.6%
고 2
 
2.8%
식 2
 
2.8%
점 2
 
2.8%
Other values (28) 32
44.4%
Common
ValueCountFrequency (%)
4
44.4%
, 2
22.2%
( 1
 
11.1%
) 1
 
11.1%
. 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
88.9%
ASCII 9
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 6
 
8.3%
단 5
 
6.9%
택 5
 
6.9%
독 5
 
6.9%
주 5
 
6.9%
사 4
 
5.6%
무 4
 
5.6%
고 2
 
2.8%
식 2
 
2.8%
점 2
 
2.8%
Other values (28) 32
44.4%
ASCII
ValueCountFrequency (%)
4
44.4%
, 2
22.2%
( 1
 
11.1%
) 1
 
11.1%
. 1
 
11.1%

용도지역
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
자연녹지지역
11 
제1종일반주거지역
9 
보전녹지지역
8 
제2종일반주거지역
7 
일반상업지역
 
1

Length

Max length9
Median length6
Mean length7.2702703
Min length5

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row제2종일반주거지역
2nd row제1종일반주거지역
3rd row제1종일반주거지역
4th row제1종일반주거지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
자연녹지지역 11
29.7%
제1종일반주거지역 9
24.3%
보전녹지지역 8
21.6%
제2종일반주거지역 7
18.9%
일반상업지역 1
 
2.7%
준주거지역 1
 
2.7%

Length

2023-12-11T01:56:59.457895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:59.706367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연녹지지역 11
29.7%
제1종일반주거지역 9
24.3%
보전녹지지역 8
21.6%
제2종일반주거지역 7
18.9%
일반상업지역 1
 
2.7%
준주거지역 1
 
2.7%

용도지구
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing34
Missing (%)91.9%
Memory size428.0 B
2023-12-11T01:56:59.972423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6
Min length4

Characters and Unicode

Total characters18
Distinct characters14
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

Unique3 ?
Unique (%)100.0%

Sample

1st row미관지구
2nd row집단취락지구
3rd row주거환경개선지구
ValueCountFrequency (%)
미관지구 1
33.3%
집단취락지구 1
33.3%
주거환경개선지구 1
33.3%
2023-12-11T01:57:00.515927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
16.7%
구 3
16.7%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%
Other values (4) 4
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
16.7%
구 3
16.7%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%
Other values (4) 4
22.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
16.7%
구 3
16.7%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
16.7%
구 3
16.7%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%
Other values (4) 4
22.2%

용도구역
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
25 
제1종지구단위계획구역
7 
가축사육제한구역
 
2
개발제한구역
 
2
지구단위계획구역
 
1

Length

Max length11
Median length4
Mean length5.7567568
Min length4

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
67.6%
제1종지구단위계획구역 7
 
18.9%
가축사육제한구역 2
 
5.4%
개발제한구역 2
 
5.4%
지구단위계획구역 1
 
2.7%

Length

2023-12-11T01:57:00.767275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:01.005970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
67.6%
제1종지구단위계획구역 7
 
18.9%
가축사육제한구역 2
 
5.4%
개발제한구역 2
 
5.4%
지구단위계획구역 1
 
2.7%

총주차대수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)33.3%
Missing10
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean60.666667
Minimum1
Maximum1539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:57:01.197293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.5
95-th percentile32.3
Maximum1539
Range1538
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation295.55177
Coefficient of variation (CV)4.8717324
Kurtosis26.95745
Mean60.666667
Median Absolute Deviation (MAD)0
Skewness5.1903211
Sum1638
Variance87350.846
MonotonicityNot monotonic
2023-12-11T01:57:01.383891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 16
43.2%
4 2
 
5.4%
3 2
 
5.4%
2 2
 
5.4%
12 1
 
2.7%
41 1
 
2.7%
7 1
 
2.7%
5 1
 
2.7%
1539 1
 
2.7%
(Missing) 10
27.0%
ValueCountFrequency (%)
1 16
43.2%
2 2
 
5.4%
3 2
 
5.4%
4 2
 
5.4%
5 1
 
2.7%
7 1
 
2.7%
12 1
 
2.7%
41 1
 
2.7%
1539 1
 
2.7%
ValueCountFrequency (%)
1539 1
 
2.7%
41 1
 
2.7%
12 1
 
2.7%
7 1
 
2.7%
5 1
 
2.7%
4 2
 
5.4%
3 2
 
5.4%
2 2
 
5.4%
1 16
43.2%

세대수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
33 
1
 
3
0
 
1

Length

Max length4
Median length4
Mean length3.6756757
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
89.2%
1 3
 
8.1%
0 1
 
2.7%

Length

2023-12-11T01:57:01.954379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:02.127719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
89.2%
1 3
 
8.1%
0 1
 
2.7%

호수
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
4
 
1
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7567568
Min length1

Unique

Unique3 ?
Unique (%)8.1%

Sample

1st row4
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
91.9%
4 1
 
2.7%
2 1
 
2.7%
0 1
 
2.7%

Length

2023-12-11T01:57:02.341783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:02.526464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
4 1
 
2.7%
2 1
 
2.7%
0 1
 
2.7%

가구수
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
23 
<NA>
12 
2
 
2

Length

Max length4
Median length1
Mean length1.972973
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 (%)
1 23
62.2%
<NA> 12
32.4%
2 2
 
5.4%

Length

2023-12-11T01:57:02.718395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:02.903692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
62.2%
na 12
32.4%
2 2
 
5.4%

설계사무소명
Text

Distinct20
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T01:57:03.173165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.3243243
Min length8

Characters and Unicode

Total characters345
Distinct characters46
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)40.5%

Sample

1st row건축사사무소 아미텍
2nd row백산종합건축사사무소
3rd row건보건축사사무소
4th row건축사사무소 홍
5th row루가 건축사사무소
ValueCountFrequency (%)
일 12
16.7%
사무소 12
16.7%
건축사 12
16.7%
건축사사무소 9
12.5%
백산종합건축사사무소 3
 
4.2%
건보건축사사무소 3
 
4.2%
홍 2
 
2.8%
신한일종합건축사사무소 2
 
2.8%
정영건축사사무소 1
 
1.4%
아미텍 1
 
1.4%
Other values (15) 15
20.8%
2023-12-11T01:57:03.631416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 74
21.4%
건 41
11.9%
축 39
11.3%
무 37
10.7%
소 37
10.7%
35
10.1%
일 16
 
4.6%
종 7
 
2.0%
합 7
 
2.0%
산 4
 
1.2%
Other values (36) 48
13.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
87.5%
Space Separator 35
 
10.1%
Uppercase Letter 4
 
1.2%
Other Punctuation 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 74
24.5%
건 41
13.6%
축 39
12.9%
무 37
12.3%
소 37
12.3%
일 16
 
5.3%
종 7
 
2.3%
합 7
 
2.3%
산 4
 
1.3%
한 3
 
1.0%
Other values (28) 37
12.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
N 1
25.0%
J 1
25.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
87.0%
Common 39
 
11.3%
Latin 4
 
1.2%
Han 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 74
24.7%
건 41
13.7%
축 39
13.0%
무 37
12.3%
소 37
12.3%
일 16
 
5.3%
종 7
 
2.3%
합 7
 
2.3%
산 4
 
1.3%
한 3
 
1.0%
Other values (26) 35
11.7%
Common
ValueCountFrequency (%)
35
89.7%
& 2
 
5.1%
( 1
 
2.6%
) 1
 
2.6%
Latin
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
N 1
25.0%
J 1
25.0%
Han
ValueCountFrequency (%)
世 1
50.0%
加 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
87.0%
ASCII 43
 
12.5%
CJK 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 74
24.7%
건 41
13.7%
축 39
13.0%
무 37
12.3%
소 37
12.3%
일 16
 
5.3%
종 7
 
2.3%
합 7
 
2.3%
산 4
 
1.3%
한 3
 
1.0%
Other values (26) 35
11.7%
ASCII
ValueCountFrequency (%)
35
81.4%
& 2
 
4.7%
( 1
 
2.3%
) 1
 
2.3%
A 1
 
2.3%
T 1
 
2.3%
N 1
 
2.3%
J 1
 
2.3%
CJK
ValueCountFrequency (%)
世 1
50.0%
加 1
50.0%

Sample

건축구분신고번호대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)건폐율(%)용적률(%)구조신고일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수설계사무소명
0용도변경2017-창조건축과-용도변경신고-28부산광역시 기장군 기장읍 동부리 393-1대539.0233.51636.5643.32209.84프리케스트콘크리트구조2017-11-295227.11숙박시설<NA>제2종일반주거지역<NA><NA>1214<NA>건축사사무소 아미텍
1신축2017-창조건축과-신축신고-148부산광역시 기장군 기장읍 만화리 412-4 외1필지전447.097.0297.0221.721.7일반목구조2017-11-29106.342단독주택<NA>제1종일반주거지역<NA>제1종지구단위계획구역1<NA><NA>1백산종합건축사사무소
2증축2017-창조건축과-증축신고-80부산광역시 기장군 일광면 이천리 241대470.0146.49146.4931.1731.17경량철골구조2017-11-271<NA>3.23단독주택및 동.식물관련시설제1종일반주거지역<NA><NA><NA>1<NA><NA>건보건축사사무소
3용도변경2017-창조건축과-용도변경신고-27부산광역시 기장군 장안읍 길천리 376-3대1005.0456.24720.6745.471.71<NA>2017-11-242<NA>13.31제2종근린생활시설노유자시설제1종일반주거지역<NA>제1종지구단위계획구역4<NA><NA><NA>건축사사무소 홍
4용도변경2017-창조건축과-용도변경신고-26부산광역시 기장군 정관읍 매학리 717-2대1382.61104.046627.679.85384.58철근콘크리트구조2017-11-235122.61제1종근린생활시설의원일반상업지역미관지구제1종지구단위계획구역41<NA><NA><NA>루가 건축사사무소
5증축2017-창조건축과-증축신고-79부산광역시 기장군 일광면 칠암리 144-11 외1필지대819.0166.66166.6620.3520.35벽돌구조2017-11-231<NA><NA>3제2종근린생활시설일반음식점제1종일반주거지역<NA>제1종지구단위계획구역<NA><NA>21마당건축사사무소
6신축2017-창조건축과-신축신고-147부산광역시 기장군 일광면 문동리 9-2전233.044.0698.9618.909942.4721철근콘크리트구조2017-11-234011.41단독주택단독주택보전녹지지역<NA><NA>3<NA><NA>1JN건축사사무소
7용도변경2017-창조건축과-용도변경신고-25부산광역시 기장군 정관읍 용수리 525대397.5198.96594.8450.05149.65<NA>2017-11-223<NA>10.551노유자시설어린이집제1종일반주거지역<NA><NA>4<NA><NA><NA>A&T 최창학 건축사사무소
8증축2017-창조건축과-증축신고-78부산광역시 기장군 일광면 삼성리 109-5대329.068.7268.7220.8920.89블록구조2017-11-201<NA>3.351단독주택단독주택준주거지역<NA>가축사육제한구역<NA><NA><NA>1신한일종합건축사사무소
9신축2017-창조건축과-신축신고-144부산광역시 기장군 일광면 동백리 198-1전94.031.531.533.5133.51일반목구조2017-11-17103.211단독주택<NA>제1종일반주거지역<NA><NA><NA><NA><NA>1한성건축사사무소
건축구분신고번호대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)건폐율(%)용적률(%)구조신고일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수설계사무소명
27신축2017-창조건축과-신축신고-140부산광역시 기장군 정관읍 예림리 23-3답520.060.060.011.5411.54경량철골구조2017-11-03104.31단독주택<NA>자연녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
28신축2017-창조건축과-신축신고-141부산광역시 기장군 정관읍 예림리 23-3답520.060.060.011.5411.54경량철골구조2017-11-03104.31단독주택<NA>자연녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
29신축2017-창조건축과-신축신고-142부산광역시 기장군 정관읍 예림리 23-3답520.060.060.011.5411.54경량철골구조2017-11-03104.31단독주택<NA>자연녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
30신축2017-창조건축과-신축신고-130부산광역시 기장군 일광면 화전리 533전180.065.4365.4336.3536.35철근콘크리트구조2017-11-02105.21단독주택<NA>제2종일반주거지역<NA><NA>1<NA><NA>1건보건축사사무소
31신축2017-창조건축과-신축신고-131부산광역시 기장군 정관읍 예림리 23-3 외1필지답162.032.032.019.7519.75경량철골구조2017-11-02104.31단독주택<NA>보전녹지지역<NA><NA><NA><NA><NA>1일 건축사 사무소
32신축2017-창조건축과-신축신고-132부산광역시 기장군 정관읍 예림리 41답439.060.060.013.6613.66경량철골구조2017-11-02104.31단독주택<NA>보전녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
33신축2017-창조건축과-신축신고-133부산광역시 기장군 정관읍 예림리 23-3 외1필지답583.060.060.010.2910.29경량철골구조2017-11-02104.31단독주택<NA>보전녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
34신축2017-창조건축과-신축신고-134부산광역시 기장군 정관읍 예림리 23-3답528.060.060.011.3611.36경량철골구조2017-11-02104.31단독주택<NA>보전녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
35신축2017-창조건축과-신축신고-135부산광역시 기장군 정관읍 예림리 23-3답528.060.060.011.3611.36경량철골구조2017-11-02104.31단독주택<NA>보전녹지지역<NA><NA>1<NA><NA>1일 건축사 사무소
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