Overview

Dataset statistics

Number of variables25
Number of observations37
Missing cells59
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory216.6 B

Variable types

Categorical11
Text5
Numeric9

Dataset

Description부산광역시_기장군_건축허가현황_201711
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3082033

Alerts

세대수 is highly imbalanced (50.6%)Imbalance
호수 is highly imbalanced (82.1%)Imbalance
부속용도 has 4 (10.8%) missing valuesMissing
용도지구 has 33 (89.2%) missing valuesMissing
가구수 has 22 (59.5%) missing valuesMissing
허가번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:56:04.945586
Analysis finished2023-12-10 16:56:05.343138
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
신축
28 
용도변경
5 
증축
3 
대수선
 
1

Length

Max length4
Median length2
Mean length2.2972973
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
신축 28
75.7%
용도변경 5
 
13.5%
증축 3
 
8.1%
대수선 1
 
2.7%

Length

2023-12-11T01:56:05.700285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:05.865363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 28
75.7%
용도변경 5
 
13.5%
증축 3
 
8.1%
대수선 1
 
2.7%

허가번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T01:56:06.180046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length19.540541
Min length18

Characters and Unicode

Total characters723
Distinct characters37
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

Unique37 ?
Unique (%)100.0%

Sample

1st row2017-창조건축과-신축허가-314
2nd row2017-창조건축과-신축허가-315
3rd row2017-창조건축과-용도변경허가-45
4th row2017-창조건축과-신축허가-313
5th row2017-창조건축과-신축허가-312
ValueCountFrequency (%)
2017-창조건축과-개발제한구역내 3
 
7.5%
2017-창조건축과-신축허가-314 1
 
2.5%
2017-창조건축과-용도변경허가-41 1
 
2.5%
2017-창조건축과-신축허가-303 1
 
2.5%
건축허가-8 1
 
2.5%
2017-창조건축과-공용건축물-13 1
 
2.5%
2017-창조건축과-신축허가-301 1
 
2.5%
2017-창조건축과-신축허가-300 1
 
2.5%
2017-창조건축과-신축허가-299 1
 
2.5%
2017-창조건축과-신축허가-297 1
 
2.5%
Other values (28) 28
70.0%
2023-12-11T01:56:06.713232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 111
15.4%
축 68
 
9.4%
2 50
 
6.9%
0 50
 
6.9%
1 49
 
6.8%
건 41
 
5.7%
7 39
 
5.4%
창 37
 
5.1%
조 37
 
5.1%
과 37
 
5.1%
Other values (27) 204
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
50.6%
Decimal Number 243
33.6%
Dash Punctuation 111
 
15.4%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 68
18.6%
건 41
11.2%
창 37
10.1%
조 37
10.1%
과 37
10.1%
허 36
9.8%
가 36
9.8%
신 24
 
6.6%
용 6
 
1.6%
경 5
 
1.4%
Other values (15) 39
10.7%
Decimal Number
ValueCountFrequency (%)
2 50
20.6%
0 50
20.6%
1 49
20.2%
7 39
16.0%
3 22
9.1%
9 11
 
4.5%
4 9
 
3.7%
5 7
 
2.9%
8 3
 
1.2%
6 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
50.6%
Common 357
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 68
18.6%
건 41
11.2%
창 37
10.1%
조 37
10.1%
과 37
10.1%
허 36
9.8%
가 36
9.8%
신 24
 
6.6%
용 6
 
1.6%
경 5
 
1.4%
Other values (15) 39
10.7%
Common
ValueCountFrequency (%)
- 111
31.1%
2 50
14.0%
0 50
14.0%
1 49
13.7%
7 39
 
10.9%
3 22
 
6.2%
9 11
 
3.1%
4 9
 
2.5%
5 7
 
2.0%
8 3
 
0.8%
Other values (2) 6
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
50.6%
ASCII 357
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 111
31.1%
2 50
14.0%
0 50
14.0%
1 49
13.7%
7 39
 
10.9%
3 22
 
6.2%
9 11
 
3.1%
4 9
 
2.5%
5 7
 
2.0%
8 3
 
0.8%
Other values (2) 6
 
1.7%
Hangul
ValueCountFrequency (%)
축 68
18.6%
건 41
11.2%
창 37
10.1%
조 37
10.1%
과 37
10.1%
허 36
9.8%
가 36
9.8%
신 24
 
6.6%
용 6
 
1.6%
경 5
 
1.4%
Other values (15) 39
10.7%

대지위치
Text

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T01:56:06.990208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length24.108108
Min length20

Characters and Unicode

Total characters892
Distinct characters64
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

Unique35 ?
Unique (%)94.6%

Sample

1st row부산광역시 기장군 정관읍 매학리 785-6
2nd row부산광역시 기장군 정관읍 매학리 785-12
3rd row부산광역시 기장군 기장읍 대라리 126-13
4th row부산광역시 기장군 일광면 이천리 381-1
5th row부산광역시 기장군 정관읍 예림리 649
ValueCountFrequency (%)
부산광역시 37
19.2%
기장군 37
19.2%
정관읍 17
 
8.8%
기장읍 9
 
4.7%
매학리 5
 
2.6%
일광면 4
 
2.1%
장안읍 4
 
2.1%
철마면 3
 
1.6%
달산리 3
 
1.6%
용수리 3
 
1.6%
Other values (58) 71
36.8%
2023-12-11T01:56:07.431697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
17.5%
장 51
 
5.7%
기 46
 
5.2%
산 43
 
4.8%
광 41
 
4.6%
부 39
 
4.4%
1 38
 
4.3%
시 37
 
4.1%
역 37
 
4.1%
리 37
 
4.1%
Other values (54) 367
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547
61.3%
Decimal Number 157
 
17.6%
Space Separator 156
 
17.5%
Dash Punctuation 32
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 51
 
9.3%
기 46
 
8.4%
산 43
 
7.9%
광 41
 
7.5%
부 39
 
7.1%
시 37
 
6.8%
역 37
 
6.8%
리 37
 
6.8%
군 37
 
6.8%
읍 30
 
5.5%
Other values (42) 149
27.2%
Decimal Number
ValueCountFrequency (%)
1 38
24.2%
6 19
12.1%
3 17
10.8%
4 16
10.2%
2 16
10.2%
8 14
 
8.9%
0 11
 
7.0%
7 11
 
7.0%
5 9
 
5.7%
9 6
 
3.8%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
61.3%
Common 345
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 51
 
9.3%
기 46
 
8.4%
산 43
 
7.9%
광 41
 
7.5%
부 39
 
7.1%
시 37
 
6.8%
역 37
 
6.8%
리 37
 
6.8%
군 37
 
6.8%
읍 30
 
5.5%
Other values (42) 149
27.2%
Common
ValueCountFrequency (%)
156
45.2%
1 38
 
11.0%
- 32
 
9.3%
6 19
 
5.5%
3 17
 
4.9%
4 16
 
4.6%
2 16
 
4.6%
8 14
 
4.1%
0 11
 
3.2%
7 11
 
3.2%
Other values (2) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 547
61.3%
ASCII 345
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
45.2%
1 38
 
11.0%
- 32
 
9.3%
6 19
 
5.5%
3 17
 
4.9%
4 16
 
4.6%
2 16
 
4.6%
8 14
 
4.1%
0 11
 
3.2%
7 11
 
3.2%
Other values (2) 15
 
4.3%
Hangul
ValueCountFrequency (%)
장 51
 
9.3%
기 46
 
8.4%
산 43
 
7.9%
광 41
 
7.5%
부 39
 
7.1%
시 37
 
6.8%
역 37
 
6.8%
리 37
 
6.8%
군 37
 
6.8%
읍 30
 
5.5%
Other values (42) 149
27.2%

지목
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
대
26 
답
4 
공장용지
 
2
전
 
2
임야
 
2

Length

Max length4
Median length1
Mean length1.2702703
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
대 26
70.3%
답 4
 
10.8%
공장용지 2
 
5.4%
전 2
 
5.4%
임야 2
 
5.4%
잡종지 1
 
2.7%

Length

2023-12-11T01:56:07.579890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:07.709329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 26
70.3%
답 4
 
10.8%
공장용지 2
 
5.4%
전 2
 
5.4%
임야 2
 
5.4%
잡종지 1
 
2.7%

대지면적(㎡)
Real number (ℝ)

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1516.4918
Minimum2.897
Maximum17302.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:07.847701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.897
5-th percentile179.24
Q1228
median413
Q3818
95-th percentile6043.24
Maximum17302.6
Range17299.703
Interquartile range (IQR)590

Descriptive statistics

Standard deviation3590.0028
Coefficient of variation (CV)2.3673077
Kurtosis14.398526
Mean1516.4918
Median Absolute Deviation (MAD)186
Skewness3.8245483
Sum56110.197
Variance12888120
MonotonicityNot monotonic
2023-12-11T01:56:07.997324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
228.0 3
 
8.1%
250.2 1
 
2.7%
980.0 1
 
2.7%
14359.0 1
 
2.7%
289.5 1
 
2.7%
512.0 1
 
2.7%
226.9 1
 
2.7%
986.7 1
 
2.7%
176.6 1
 
2.7%
1157.8 1
 
2.7%
Other values (25) 25
67.6%
ValueCountFrequency (%)
2.897 1
 
2.7%
176.6 1
 
2.7%
179.9 1
 
2.7%
199.0 1
 
2.7%
210.3 1
 
2.7%
226.9 1
 
2.7%
227.0 1
 
2.7%
228.0 3
8.1%
231.0 1
 
2.7%
241.8 1
 
2.7%
ValueCountFrequency (%)
17302.6 1
2.7%
14359.0 1
2.7%
3964.3 1
2.7%
3055.0 1
2.7%
2978.0 1
2.7%
1244.0 1
2.7%
1157.8 1
2.7%
986.7 1
2.7%
980.0 1
2.7%
818.0 1
2.7%

건축면적(㎡)
Real number (ℝ)

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean424.08127
Minimum66.25
Maximum3126.697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:08.156991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.25
5-th percentile78.306
Q1125.54
median151.68
Q3493.5
95-th percentile1826.712
Maximum3126.697
Range3060.447
Interquartile range (IQR)367.96

Descriptive statistics

Standard deviation681.8519
Coefficient of variation (CV)1.6078331
Kurtosis10.111468
Mean424.08127
Median Absolute Deviation (MAD)60.37
Skewness3.1853511
Sum15691.007
Variance464922.02
MonotonicityNot monotonic
2023-12-11T01:56:08.329091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
144.2 2
 
5.4%
136.17 2
 
5.4%
299.15 1
 
2.7%
738.15 1
 
2.7%
173.31 1
 
2.7%
125.54 1
 
2.7%
136.02 1
 
2.7%
497.58 1
 
2.7%
105.36 1
 
2.7%
189.0 1
 
2.7%
Other values (25) 25
67.6%
ValueCountFrequency (%)
66.25 1
2.7%
69.33 1
2.7%
80.55 1
2.7%
83.64 1
2.7%
91.31 1
2.7%
105.36 1
2.7%
107.07 1
2.7%
108.18 1
2.7%
116.6 1
2.7%
125.54 1
2.7%
ValueCountFrequency (%)
3126.697 1
2.7%
2816.68 1
2.7%
1579.22 1
2.7%
738.15 1
2.7%
642.98 1
2.7%
636.97 1
2.7%
548.71 1
2.7%
501.29 1
2.7%
497.58 1
2.7%
493.5 1
2.7%

연면적(㎡)
Real number (ℝ)

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2226.3022
Minimum83.28
Maximum54329.028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:08.490596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.28
5-th percentile119.484
Q1216
median340.38
Q3665.08
95-th percentile4736.7336
Maximum54329.028
Range54245.748
Interquartile range (IQR)449.08

Descriptive statistics

Standard deviation8879.05
Coefficient of variation (CV)3.9882502
Kurtosis35.649941
Mean2226.3022
Median Absolute Deviation (MAD)153.12
Skewness5.926117
Sum82373.18
Variance78837529
MonotonicityNot monotonic
2023-12-11T01:56:08.657627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
341.29 2
 
5.4%
372.83 1
 
2.7%
286.68 1
 
2.7%
83.28 1
 
2.7%
1592.445 1
 
2.7%
478.24 1
 
2.7%
123.1 1
 
2.7%
339.05 1
 
2.7%
1648.45 1
 
2.7%
189.0 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
83.28 1
2.7%
105.02 1
2.7%
123.1 1
2.7%
131.94 1
2.7%
132.5 1
2.7%
143.7 1
2.7%
143.97 1
2.7%
189.0 1
2.7%
192.8 1
2.7%
216.0 1
2.7%
ValueCountFrequency (%)
54329.028 1
2.7%
4930.12 1
2.7%
4688.387 1
2.7%
2732.86 1
2.7%
2506.14 1
2.7%
1648.45 1
2.7%
1592.445 1
2.7%
1074.24 1
2.7%
734.41 1
2.7%
665.08 1
2.7%

건폐율(%)
Real number (ℝ)

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.614192
Minimum5.14
Maximum79.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:08.828665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.14
5-th percentile11.116
Q124.41
median54.36
Q359.72
95-th percentile78.90386
Maximum79.77
Range74.63
Interquartile range (IQR)35.31

Descriptive statistics

Standard deviation21.236156
Coefficient of variation (CV)0.46556027
Kurtosis-0.9459824
Mean45.614192
Median Absolute Deviation (MAD)5.6
Skewness-0.47156603
Sum1687.7251
Variance450.97431
MonotonicityNot monotonic
2023-12-11T01:56:08.998364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
59.72 3
 
8.1%
59.52 2
 
5.4%
59.96 2
 
5.4%
39.53 1
 
2.7%
5.14 1
 
2.7%
59.87 1
 
2.7%
24.52 1
 
2.7%
59.95 1
 
2.7%
50.43 1
 
2.7%
59.66 1
 
2.7%
Other values (23) 23
62.2%
ValueCountFrequency (%)
5.14 1
2.7%
8.1 1
2.7%
11.87 1
2.7%
16.27 1
2.7%
16.28 1
2.7%
17.03 1
2.7%
17.96 1
2.7%
19.29 1
2.7%
19.85 1
2.7%
24.41 1
2.7%
ValueCountFrequency (%)
79.77 1
 
2.7%
79.0337 1
 
2.7%
78.8714 1
 
2.7%
59.96 2
5.4%
59.95 1
 
2.7%
59.87 1
 
2.7%
59.72 3
8.1%
59.66 1
 
2.7%
59.52 2
5.4%
59.43 1
 
2.7%

용적률(%)
Real number (ℝ)

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.94893
Minimum8.02
Maximum920.8283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:09.155517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.02
5-th percentile14.252
Q138.89
median92.78
Q3149.69
95-th percentile534.3564
Maximum920.8283
Range912.8083
Interquartile range (IQR)110.8

Descriptive statistics

Standard deviation197.66565
Coefficient of variation (CV)1.4328901
Kurtosis10.165234
Mean137.94893
Median Absolute Deviation (MAD)56.91
Skewness3.1558469
Sum5104.1103
Variance39071.71
MonotonicityNot monotonic
2023-12-11T01:56:09.314418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
24.04 2
 
5.4%
149.69 2
 
5.4%
149.01 1
 
2.7%
162.33 1
 
2.7%
16.2 1
 
2.7%
8.02 1
 
2.7%
165.2 1
 
2.7%
149.43 1
 
2.7%
113.92 1
 
2.7%
19.29 1
 
2.7%
Other values (25) 25
67.6%
ValueCountFrequency (%)
8.02 1
2.7%
8.1 1
2.7%
15.79 1
2.7%
16.2 1
2.7%
17.03 1
2.7%
17.99 1
2.7%
19.29 1
2.7%
24.04 2
5.4%
38.89 1
2.7%
39.57 1
2.7%
ValueCountFrequency (%)
920.8283 1
2.7%
834.982 1
2.7%
459.2 1
2.7%
176.33 1
2.7%
165.2 1
2.7%
162.33 1
2.7%
149.95 1
2.7%
149.92 1
2.7%
149.69 2
5.4%
149.43 1
2.7%

구조
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
철근콘크리트구조
20 
일반철골구조
11 
경량철골구조
4 
철골철근콘크리트구조
 
1
<NA>
 
1

Length

Max length10
Median length8
Mean length7.1351351
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 20
54.1%
일반철골구조 11
29.7%
경량철골구조 4
 
10.8%
철골철근콘크리트구조 1
 
2.7%
<NA> 1
 
2.7%

Length

2023-12-11T01:56:09.443616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:09.567153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 20
54.1%
일반철골구조 11
29.7%
경량철골구조 4
 
10.8%
철골철근콘크리트구조 1
 
2.7%
na 1
 
2.7%

허가일
Categorical

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
2017-11-23
4 
2017-11-03
4 
2017-11-27
3 
2017-11-22
3 
2017-11-21
3 
Other values (11)
20 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row2017-11-30
2nd row2017-11-30
3rd row2017-11-29
4th row2017-11-29
5th row2017-11-28

Common Values

ValueCountFrequency (%)
2017-11-23 4
10.8%
2017-11-03 4
10.8%
2017-11-27 3
8.1%
2017-11-22 3
8.1%
2017-11-21 3
8.1%
2017-11-16 3
8.1%
2017-11-06 3
8.1%
2017-11-01 3
8.1%
2017-11-30 2
 
5.4%
2017-11-29 2
 
5.4%
Other values (6) 7
18.9%

Length

2023-12-11T01:56:09.710984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-11-23 4
10.8%
2017-11-03 4
10.8%
2017-11-27 3
8.1%
2017-11-22 3
8.1%
2017-11-21 3
8.1%
2017-11-16 3
8.1%
2017-11-06 3
8.1%
2017-11-01 3
8.1%
2017-11-30 2
 
5.4%
2017-11-29 2
 
5.4%
Other values (6) 7
18.9%

최대지상층수
Real number (ℝ)

Distinct7
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0540541
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:09.840839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7.4
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7279006
Coefficient of variation (CV)0.89320638
Kurtosis8.5002624
Mean3.0540541
Median Absolute Deviation (MAD)1
Skewness2.7608933
Sum113
Variance7.4414414
MonotonicityNot monotonic
2023-12-11T01:56:10.004659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
27.0%
2 9
24.3%
3 8
21.6%
4 6
16.2%
13 2
 
5.4%
6 1
 
2.7%
5 1
 
2.7%
ValueCountFrequency (%)
1 10
27.0%
2 9
24.3%
3 8
21.6%
4 6
16.2%
5 1
 
2.7%
6 1
 
2.7%
13 2
 
5.4%
ValueCountFrequency (%)
13 2
 
5.4%
6 1
 
2.7%
5 1
 
2.7%
4 6
16.2%
3 8
21.6%
2 9
24.3%
1 10
27.0%

최대지하층수
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
0
25 
1
5 
<NA>
5 
2
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.4054054
Min length1

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
67.6%
1 5
 
13.5%
<NA> 5
 
13.5%
2 1
 
2.7%
5 1
 
2.7%

Length

2023-12-11T01:56:10.198145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:10.381513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
67.6%
1 5
 
13.5%
na 5
 
13.5%
2 1
 
2.7%
5 1
 
2.7%

최고높이(m)
Real number (ℝ)

Distinct31
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.887297
Minimum3.75
Maximum68.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:10.526716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.75
5-th percentile4.836
Q17.5
median11.1
Q312.6
95-th percentile31.92
Maximum68.4
Range64.65
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation11.553923
Coefficient of variation (CV)0.89653575
Kurtosis15.38098
Mean12.887297
Median Absolute Deviation (MAD)3.35
Skewness3.6310598
Sum476.83
Variance133.49313
MonotonicityNot monotonic
2023-12-11T01:56:10.651939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11.7 2
 
5.4%
14.45 2
 
5.4%
11.0 2
 
5.4%
11.8 2
 
5.4%
11.9 2
 
5.4%
12.6 2
 
5.4%
17.2 1
 
2.7%
68.4 1
 
2.7%
12.5 1
 
2.7%
5.8 1
 
2.7%
Other values (21) 21
56.8%
ValueCountFrequency (%)
3.75 1
2.7%
4.5 1
2.7%
4.92 1
2.7%
5.3 1
2.7%
5.35 1
2.7%
5.7 1
2.7%
5.8 1
2.7%
7.3 1
2.7%
7.38 1
2.7%
7.5 1
2.7%
ValueCountFrequency (%)
68.4 1
2.7%
39.6 1
2.7%
30.0 1
2.7%
17.2 1
2.7%
16.6 1
2.7%
15.7 1
2.7%
14.45 2
5.4%
12.6 2
5.4%
12.5 1
2.7%
11.9 2
5.4%

동수
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
29 
2
4 
0
 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
78.4%
2 4
 
10.8%
0 2
 
5.4%
3 2
 
5.4%

Length

2023-12-11T01:56:10.798641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:10.948462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
78.4%
2 4
 
10.8%
0 2
 
5.4%
3 2
 
5.4%

주용도
Categorical

Distinct9
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
단독주택
17 
제2종근린생활시설
8 
제1종근린생활시설
5 
공장
2 
업무시설
 
1
Other values (4)
4 

Length

Max length9
Median length4
Mean length5.7837838
Min length2

Unique

Unique5 ?
Unique (%)13.5%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 17
45.9%
제2종근린생활시설 8
21.6%
제1종근린생활시설 5
 
13.5%
공장 2
 
5.4%
업무시설 1
 
2.7%
노유자시설 1
 
2.7%
자원순환관련시설 1
 
2.7%
종교시설 1
 
2.7%
창고시설 1
 
2.7%

Length

2023-12-11T01:56:11.116521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:11.255776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 17
45.9%
제2종근린생활시설 8
21.6%
제1종근린생활시설 5
 
13.5%
공장 2
 
5.4%
업무시설 1
 
2.7%
노유자시설 1
 
2.7%
자원순환관련시설 1
 
2.7%
종교시설 1
 
2.7%
창고시설 1
 
2.7%

부속용도
Text

MISSING 

Distinct21
Distinct (%)63.6%
Missing4
Missing (%)10.8%
Memory size428.0 B
2023-12-11T01:56:11.468822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length7.1212121
Min length2

Characters and Unicode

Total characters235
Distinct characters55
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

Unique15 ?
Unique (%)45.5%

Sample

1st row다가구주택,제2종근린생활시설(사무소)
2nd row다가구주택,제2종근린생활시설(사무소)
3rd row오피스텔
4th row소매점
5th row사무소
ValueCountFrequency (%)
단독주택 7
17.1%
소매점 4
 
9.8%
다가구주택 3
 
7.3%
및 3
 
7.3%
다가구주택,제2종근린생활시설(사무소 2
 
4.9%
다가구주택)및제2종근린생활시설 2
 
4.9%
다가구주택,사무소 2
 
4.9%
교회 1
 
2.4%
공장 1
 
2.4%
집회시설 1
 
2.4%
Other values (15) 15
36.6%
2023-12-11T01:56:11.867455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 16
 
6.8%
택 16
 
6.8%
시 11
 
4.7%
설 11
 
4.7%
소 10
 
4.3%
다 9
 
3.8%
가 9
 
3.8%
구 9
 
3.8%
8
 
3.4%
독 7
 
3.0%
Other values (45) 129
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
87.2%
Space Separator 8
 
3.4%
Other Punctuation 7
 
3.0%
Decimal Number 5
 
2.1%
Close Punctuation 5
 
2.1%
Open Punctuation 5
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
7.8%
택 16
 
7.8%
시 11
 
5.4%
설 11
 
5.4%
소 10
 
4.9%
다 9
 
4.4%
가 9
 
4.4%
구 9
 
4.4%
독 7
 
3.4%
단 7
 
3.4%
Other values (40) 100
48.8%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Decimal Number
ValueCountFrequency (%)
2 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
87.2%
Common 30
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
7.8%
택 16
 
7.8%
시 11
 
5.4%
설 11
 
5.4%
소 10
 
4.9%
다 9
 
4.4%
가 9
 
4.4%
구 9
 
4.4%
독 7
 
3.4%
단 7
 
3.4%
Other values (40) 100
48.8%
Common
ValueCountFrequency (%)
8
26.7%
, 7
23.3%
2 5
16.7%
) 5
16.7%
( 5
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
87.2%
ASCII 30
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 16
 
7.8%
택 16
 
7.8%
시 11
 
5.4%
설 11
 
5.4%
소 10
 
4.9%
다 9
 
4.4%
가 9
 
4.4%
구 9
 
4.4%
독 7
 
3.4%
단 7
 
3.4%
Other values (40) 100
48.8%
ASCII
ValueCountFrequency (%)
8
26.7%
, 7
23.3%
2 5
16.7%
) 5
16.7%
( 5
16.7%

용도지역
Categorical

Distinct7
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
제1종일반주거지역
13 
제2종일반주거지역
8 
자연녹지지역
7 
일반상업지역
3 
일반공업지역
3 
Other values (2)
3 

Length

Max length9
Median length9
Mean length7.6216216
Min length5

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
제1종일반주거지역 13
35.1%
제2종일반주거지역 8
21.6%
자연녹지지역 7
18.9%
일반상업지역 3
 
8.1%
일반공업지역 3
 
8.1%
준주거지역 2
 
5.4%
준공업지역 1
 
2.7%

Length

2023-12-11T01:56:12.044683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:12.223551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제1종일반주거지역 13
35.1%
제2종일반주거지역 8
21.6%
자연녹지지역 7
18.9%
일반상업지역 3
 
8.1%
일반공업지역 3
 
8.1%
준주거지역 2
 
5.4%
준공업지역 1
 
2.7%

용도지구
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing33
Missing (%)89.2%
Memory size428.0 B
2023-12-11T01:56:12.377773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5
Min length4

Characters and Unicode

Total characters18
Distinct characters10
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

Unique2 ?
Unique (%)50.0%

Sample

1st row방화지구
2nd row방화지구
3rd row미관지구
4th row집단취락지구
ValueCountFrequency (%)
방화지구 2
50.0%
미관지구 1
25.0%
집단취락지구 1
25.0%
2023-12-11T01:56:12.707769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
22.2%
구 4
22.2%
방 2
11.1%
화 2
11.1%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
22.2%
구 4
22.2%
방 2
11.1%
화 2
11.1%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
22.2%
구 4
22.2%
방 2
11.1%
화 2
11.1%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
22.2%
구 4
22.2%
방 2
11.1%
화 2
11.1%
미 1
 
5.6%
관 1
 
5.6%
집 1
 
5.6%
단 1
 
5.6%
취 1
 
5.6%
락 1
 
5.6%

용도구역
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
14 
제1종지구단위계획구역
13 
가축사육제한구역
5 
개발제한구역
3 
지구단위계획구역
2 

Length

Max length11
Median length8
Mean length7.3783784
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
37.8%
제1종지구단위계획구역 13
35.1%
가축사육제한구역 5
 
13.5%
개발제한구역 3
 
8.1%
지구단위계획구역 2
 
5.4%

Length

2023-12-11T01:56:12.885524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:13.027370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
37.8%
제1종지구단위계획구역 13
35.1%
가축사육제한구역 5
 
13.5%
개발제한구역 3
 
8.1%
지구단위계획구역 2
 
5.4%

총주차대수
Real number (ℝ)

Distinct12
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.27027
Minimum1
Maximum435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:13.171880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile30
Maximum435
Range434
Interquartile range (IQR)4

Descriptive statistics

Standard deviation71.065169
Coefficient of variation (CV)4.1148846
Kurtosis35.917733
Mean17.27027
Median Absolute Deviation (MAD)2
Skewness5.9585561
Sum639
Variance5050.2583
MonotonicityNot monotonic
2023-12-11T01:56:13.337438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 8
21.6%
2 7
18.9%
6 4
10.8%
4 4
10.8%
5 3
 
8.1%
3 3
 
8.1%
7 2
 
5.4%
8 2
 
5.4%
46 1
 
2.7%
26 1
 
2.7%
Other values (2) 2
 
5.4%
ValueCountFrequency (%)
1 8
21.6%
2 7
18.9%
3 3
 
8.1%
4 4
10.8%
5 3
 
8.1%
6 4
10.8%
7 2
 
5.4%
8 2
 
5.4%
16 1
 
2.7%
26 1
 
2.7%
ValueCountFrequency (%)
435 1
 
2.7%
46 1
 
2.7%
26 1
 
2.7%
16 1
 
2.7%
8 2
5.4%
7 2
5.4%
6 4
10.8%
5 3
8.1%
4 4
10.8%
3 3
8.1%

세대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
33 
1
4 

Length

Max length4
Median length4
Mean length3.6756757
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
89.2%
1 4
 
10.8%

Length

2023-12-11T01:56:13.473398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:13.588475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
89.2%
1 4
 
10.8%

호수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
36 
286
 
1

Length

Max length4
Median length4
Mean length3.972973
Min length3

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
97.3%
286 1
 
2.7%

Length

2023-12-11T01:56:13.719313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:56:13.843830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
97.3%
286 1
 
2.7%

가구수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)53.3%
Missing22
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean3.9333333
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T01:56:13.945764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile11.3
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.8072612
Coefficient of variation (CV)0.96794777
Kurtosis0.34293949
Mean3.9333333
Median Absolute Deviation (MAD)1
Skewness1.2598355
Sum59
Variance14.495238
MonotonicityNot monotonic
2023-12-11T01:56:14.052591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6
 
16.2%
5 2
 
5.4%
2 2
 
5.4%
11 1
 
2.7%
12 1
 
2.7%
9 1
 
2.7%
3 1
 
2.7%
4 1
 
2.7%
(Missing) 22
59.5%
ValueCountFrequency (%)
1 6
16.2%
2 2
 
5.4%
3 1
 
2.7%
4 1
 
2.7%
5 2
 
5.4%
9 1
 
2.7%
11 1
 
2.7%
12 1
 
2.7%
ValueCountFrequency (%)
12 1
 
2.7%
11 1
 
2.7%
9 1
 
2.7%
5 2
 
5.4%
4 1
 
2.7%
3 1
 
2.7%
2 2
 
5.4%
1 6
16.2%

설계사무소명
Text

Distinct26
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T01:56:14.274679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length10.567568
Min length8

Characters and Unicode

Total characters391
Distinct characters69
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)48.6%

Sample

1st row맵스아키텍츠 건축사사무소
2nd row맵스아키텍츠 건축사사무소
3rd row종합건축사사무소 국도
4th row디앤비건축사사무소
5th row아름 건축사사무소
ValueCountFrequency (%)
건축사사무소 15
25.0%
맵스아키텍츠 5
 
8.3%
종합건축사사무소 4
 
6.7%
주)경도건축사사무소엔지니어링 2
 
3.3%
아름 2
 
3.3%
금강 2
 
3.3%
주식회사 2
 
3.3%
선우건축사사무소 2
 
3.3%
동림건축사사무소 2
 
3.3%
한성건축사사무소 2
 
3.3%
Other values (21) 22
36.7%
2023-12-11T01:56:14.635659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 74
18.9%
건 38
 
9.7%
축 37
 
9.5%
무 36
 
9.2%
소 36
 
9.2%
23
 
5.9%
주 8
 
2.0%
아 7
 
1.8%
합 7
 
1.8%
종 7
 
1.8%
Other values (59) 118
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
91.6%
Space Separator 23
 
5.9%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 74
20.7%
건 38
 
10.6%
축 37
 
10.3%
무 36
 
10.1%
소 36
 
10.1%
주 8
 
2.2%
아 7
 
2.0%
합 7
 
2.0%
종 7
 
2.0%
한 6
 
1.7%
Other values (56) 102
28.5%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
91.0%
Common 33
 
8.4%
Han 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 74
20.8%
건 38
 
10.7%
축 37
 
10.4%
무 36
 
10.1%
소 36
 
10.1%
주 8
 
2.2%
아 7
 
2.0%
합 7
 
2.0%
종 7
 
2.0%
한 6
 
1.7%
Other values (54) 100
28.1%
Common
ValueCountFrequency (%)
23
69.7%
( 5
 
15.2%
) 5
 
15.2%
Han
ValueCountFrequency (%)
世 1
50.0%
加 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
91.0%
ASCII 33
 
8.4%
CJK 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 74
20.8%
건 38
 
10.7%
축 37
 
10.4%
무 36
 
10.1%
소 36
 
10.1%
주 8
 
2.2%
아 7
 
2.0%
합 7
 
2.0%
종 7
 
2.0%
한 6
 
1.7%
Other values (54) 100
28.1%
ASCII
ValueCountFrequency (%)
23
69.7%
( 5
 
15.2%
) 5
 
15.2%
CJK
ValueCountFrequency (%)
世 1
50.0%
加 1
50.0%

Sample

건축구분허가번호대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)건폐율(%)용적률(%)구조허가일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수설계사무소명
0신축2017-창조건축과-신축허가-314부산광역시 기장군 정관읍 매학리 785-6대250.2144.2372.8357.63149.01철근콘크리트구조2017-11-303011.71단독주택다가구주택,제2종근린생활시설(사무소)제1종일반주거지역<NA>제1종지구단위계획구역6<NA><NA>5맵스아키텍츠 건축사사무소
1신축2017-창조건축과-신축허가-315부산광역시 기장군 정관읍 매학리 785-12대246.1144.2363.0358.59147.51철근콘크리트구조2017-11-303011.70단독주택다가구주택,제2종근린생활시설(사무소)제1종일반주거지역<NA>제1종지구단위계획구역6<NA><NA>5맵스아키텍츠 건축사사무소
2용도변경2017-창조건축과-용도변경허가-45부산광역시 기장군 기장읍 대라리 126-13대543.3429.394688.38779.0337834.982철근콘크리트구조2017-11-2913139.61업무시설오피스텔일반상업지역방화지구가축사육제한구역46<NA><NA><NA>종합건축사사무소 국도
3신축2017-창조건축과-신축허가-313부산광역시 기장군 일광면 이천리 381-1대199.0108.18192.854.3696.88일반철골구조2017-11-29208.131제1종근린생활시설소매점제2종일반주거지역<NA><NA>21<NA><NA>디앤비건축사사무소
4신축2017-창조건축과-신축허가-312부산광역시 기장군 정관읍 예림리 649답818.066.25132.58.18.1철근콘크리트구조2017-11-28113.751제2종근린생활시설<NA>자연녹지지역<NA><NA>1<NA><NA><NA>아름 건축사사무소
5용도변경2017-창조건축과-용도변경허가-43부산광역시 기장군 정관읍 매학리 751-6대798.5636.974930.1279.77459.2철근콘크리트구조2017-11-276230.01노유자시설<NA>일반상업지역방화지구제1종지구단위계획구역26<NA><NA><NA>에이포인트건축사사무소
6용도변경2017-창조건축과-용도변경허가-44부산광역시 기장군 일광면 문중리 65대228.0116.6222.3551.1497.52일반철골구조2017-11-272<NA>7.51제2종근린생활시설사무소제1종일반주거지역<NA>제1종지구단위계획구역2<NA><NA><NA>신한일종합건축사사무소
7증축2017-창조건축과-증축허가-53부산광역시 기장군 정관읍 방곡리 400-2대484.3262.2665.0854.14137.33철근콘크리트구조2017-11-274<NA>17.21제2종근린생활시설종교집회장준주거지역<NA>제1종지구단위계획구역5<NA><NA><NA>건축사사무소 시엘
8용도변경2017-창조건축과-용도변경허가-42부산광역시 기장군 정관읍 매학리 717-5 외1필지대3964.33126.69754329.02878.8714920.8283철골철근콘크리트구조2017-11-2313568.41제2종근린생활시설판매시설,의료시설,업무시설,문화 및 집회시설일반상업지역미관지구제1종지구단위계획구역435<NA>286<NA>주식회사 목전 건축사사무소
9신축2017-창조건축과-신축허가-309부산광역시 기장군 장안읍 반룡리 반룡일반산업단지 6-13공장용지2978.01579.222506.1453.0379.12일반철골구조2017-11-233116.62공장공장일반공업지역<NA><NA>7<NA><NA><NA>세화 건축사사무소
건축구분허가번호대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)건폐율(%)용적률(%)구조허가일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수설계사무소명
27용도변경2017-창조건축과-용도변경허가-41부산광역시 기장군 기장읍 동부리 395-7대986.7497.581648.4550.43113.92철근콘크리트구조2017-11-063112.62종교시설교회제2종일반주거지역<NA><NA>16<NA><NA><NA>선우건축사사무소
28신축2017-창조건축과-신축허가-297부산광역시 기장군 기장읍 동부리 386-10대176.6105.36286.6859.66162.33철근콘크리트구조2017-11-06309.01단독주택다가구주택 및 근생제2종일반주거지역<NA>가축사육제한구역3<NA><NA>2일탑 건축사사무소
29신축2017-창조건축과-신축허가-298부산광역시 기장군 정관읍 예림리 826-1답980.0189.0189.019.2919.29경량철골구조2017-11-06104.921제2종근린생활시설일반음식점자연녹지지역<NA><NA>1<NA><NA><NA>한성건축사사무소
30증축2017-창조건축과-증축허가-51부산광역시 기장군 장안읍 반룡리 832-8대1157.8642.981074.2455.5392.78일반철골구조2017-11-031<NA>7.383창고시설창고준주거지역<NA>지구단위계획구역4<NA><NA><NA>동림건축사사무소
31증축2017-창조건축과-증축허가-52부산광역시 기장군 일광면 용천리 947-11대764.0151.68302.319.8539.57철근콘크리트구조2017-11-033<NA>11.13단독주택다가구주택제2종일반주거지역<NA><NA>4<NA><NA>3건보건축사사무소
32신축2017-창조건축과-신축허가-295부산광역시 기장군 철마면 장전리 281-1 외1필지답413.0164.66269.3639.8765.22일반철골구조2017-11-03208.31제1종근린생활시설창고시설제1종일반주거지역<NA>제1종지구단위계획구역2<NA><NA><NA>건축사사무소 홍
33신축2017-창조건축과-신축허가-296부산광역시 기장군 장안읍 반룡리 반룡일반산업단지 7-33대1244.0501.29483.8440.338.89일반철골구조2017-11-03104.52제1종근린생활시설소매점준공업지역<NA><NA>4<NA><NA><NA>맵스아키텍츠 건축사사무소
34신축2017-창조건축과-신축허가-292부산광역시 기장군 정관읍 모전리 684-4대241.8143.7143.759.4359.43경량철골구조2017-11-01105.81단독주택및 제2종 근린생활시설제1종일반주거지역<NA>제1종지구단위계획구역1<NA><NA>1일 건축사 사무소
35신축2017-창조건축과-신축허가-293부산광역시 기장군 정관읍 용수리 1038-21 외5필지답2.897493.5493.517.0317.03일반철골구조2017-11-011012.51제2종근린생활시설제조업소자연녹지지역<NA><NA>4<NA><NA><NA>한성건축사사무소
36신축2017-창조건축과-신축허가-294부산광역시 기장군 정관읍 용수리 1290-4대210.3126.1314.059.96149.31철근콘크리트구조2017-11-013011.01단독주택(다가구주택)및제2종근린생활시설제1종일반주거지역<NA>제1종지구단위계획구역5<NA><NA>4건축사사무소 금강