Overview

Dataset statistics

Number of variables23
Number of observations40
Missing cells57
Missing cells (%)6.2%
Duplicate rows3
Duplicate rows (%)7.5%
Total size in memory7.7 KiB
Average record size in memory197.3 B

Variable types

Categorical7
Text6
Numeric9
DateTime1

Dataset

Description건축물의 착공에 관한 데이터로 건축착공 위치, 대지면적, 건축면적, 연면적, 건폐율, 용적률 구조, 허가일 등의 항목을 제공합니다.
Author부산광역시 사하구
URLhttps://www.data.go.kr/data/3079856/fileData.do

Alerts

Dataset has 3 (7.5%) duplicate rowsDuplicates
증축연면적(제곱미터) has 22 (55.0%) missing valuesMissing
부속용도 has 30 (75.0%) missing valuesMissing
시공자사무소명 has 5 (12.5%) missing valuesMissing

Reproduction

Analysis started2024-03-23 05:16:29.681476
Analysis finished2024-03-23 05:16:30.752726
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
증축
18 
신축
15 
대수선
7 

Length

Max length3
Median length2
Mean length2.175
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
증축 18
45.0%
신축 15
37.5%
대수선 7
 
17.5%

Length

2024-03-23T05:16:31.041532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:16:31.529651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
증축 18
45.0%
신축 15
37.5%
대수선 7
 
17.5%

허가번호
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T05:16:32.254689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length16.025
Min length15

Characters and Unicode

Total characters641
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)80.0%

Sample

1st row2024-건축과-증축허가-3
2nd row2023-건축과-공용건축물-26
3rd row2023-건축과-협의건축물-6
4th row2023-건축과-협의건축물-5
5th row2023-건축과-신축허가-24
ValueCountFrequency (%)
2023-건축과-신축허가-11 4
 
10.0%
2023-건축과-신축허가-24 2
 
5.0%
2023-건축과-증축허가-15 2
 
5.0%
2023-건축과-증축허가-7 1
 
2.5%
2023-건축과-신축허가-9 1
 
2.5%
2023-건축과-증축허가-8 1
 
2.5%
2023-건축과-증축허가-9 1
 
2.5%
2023-건축과-증축허가-11 1
 
2.5%
2023-건축과-신축허가-10 1
 
2.5%
2023-건축과-신축허가-15 1
 
2.5%
Other values (25) 25
62.5%
2024-03-23T05:16:33.867699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
18.7%
2 87
13.6%
축 77
12.0%
건 50
7.8%
0 43
 
6.7%
3 42
 
6.6%
과 40
 
6.2%
허 30
 
4.7%
가 30
 
4.7%
1 29
 
4.5%
Other values (16) 93
14.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
45.7%
Decimal Number 228
35.6%
Dash Punctuation 120
18.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 77
26.3%
건 50
17.1%
과 40
13.7%
허 30
 
10.2%
가 30
 
10.2%
증 14
 
4.8%
신 13
 
4.4%
물 10
 
3.4%
용 7
 
2.4%
공 7
 
2.4%
Other values (5) 15
 
5.1%
Decimal Number
ValueCountFrequency (%)
2 87
38.2%
0 43
18.9%
3 42
18.4%
1 29
 
12.7%
4 7
 
3.1%
5 7
 
3.1%
6 5
 
2.2%
9 5
 
2.2%
8 2
 
0.9%
7 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
54.3%
Hangul 293
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 77
26.3%
건 50
17.1%
과 40
13.7%
허 30
 
10.2%
가 30
 
10.2%
증 14
 
4.8%
신 13
 
4.4%
물 10
 
3.4%
용 7
 
2.4%
공 7
 
2.4%
Other values (5) 15
 
5.1%
Common
ValueCountFrequency (%)
- 120
34.5%
2 87
25.0%
0 43
 
12.4%
3 42
 
12.1%
1 29
 
8.3%
4 7
 
2.0%
5 7
 
2.0%
6 5
 
1.4%
9 5
 
1.4%
8 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
54.3%
Hangul 293
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
34.5%
2 87
25.0%
0 43
 
12.4%
3 42
 
12.1%
1 29
 
8.3%
4 7
 
2.0%
5 7
 
2.0%
6 5
 
1.4%
9 5
 
1.4%
8 2
 
0.6%
Hangul
ValueCountFrequency (%)
축 77
26.3%
건 50
17.1%
과 40
13.7%
허 30
 
10.2%
가 30
 
10.2%
증 14
 
4.8%
신 13
 
4.4%
물 10
 
3.4%
용 7
 
2.4%
공 7
 
2.4%
Other values (5) 15
 
5.1%

대지위치
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T05:16:34.905801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.75
Min length17

Characters and Unicode

Total characters830
Distinct characters35
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

Unique30 ?
Unique (%)75.0%

Sample

1st row부산광역시 사하구 장림동 1089-15
2nd row부산광역시 사하구 다대동 371-9 외9필지
3rd row부산광역시 사하구 다대동 120-35
4th row부산광역시 사하구 괴정동 1075-7
5th row부산광역시 사하구 괴정동 577-24
ValueCountFrequency (%)
부산광역시 40
23.1%
사하구 40
23.1%
장림동 16
 
9.2%
외3필지 6
 
3.5%
다대동 6
 
3.5%
괴정동 5
 
2.9%
구평동 5
 
2.9%
외1필지 5
 
2.9%
신평동 4
 
2.3%
906 4
 
2.3%
Other values (36) 42
24.3%
2024-03-23T05:16:36.193023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
16.0%
구 45
 
5.4%
하 43
 
5.2%
부 40
 
4.8%
사 40
 
4.8%
산 40
 
4.8%
동 40
 
4.8%
시 40
 
4.8%
역 40
 
4.8%
광 40
 
4.8%
Other values (25) 329
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 479
57.7%
Decimal Number 189
 
22.8%
Space Separator 133
 
16.0%
Dash Punctuation 29
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 45
9.4%
하 43
9.0%
부 40
8.4%
사 40
8.4%
산 40
8.4%
동 40
8.4%
시 40
8.4%
역 40
8.4%
광 40
8.4%
장 16
 
3.3%
Other values (13) 95
19.8%
Decimal Number
ValueCountFrequency (%)
1 32
16.9%
3 26
13.8%
7 22
11.6%
0 19
10.1%
2 18
9.5%
5 18
9.5%
4 17
9.0%
6 15
7.9%
9 14
7.4%
8 8
 
4.2%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 479
57.7%
Common 351
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 45
9.4%
하 43
9.0%
부 40
8.4%
사 40
8.4%
산 40
8.4%
동 40
8.4%
시 40
8.4%
역 40
8.4%
광 40
8.4%
장 16
 
3.3%
Other values (13) 95
19.8%
Common
ValueCountFrequency (%)
133
37.9%
1 32
 
9.1%
- 29
 
8.3%
3 26
 
7.4%
7 22
 
6.3%
0 19
 
5.4%
2 18
 
5.1%
5 18
 
5.1%
4 17
 
4.8%
6 15
 
4.3%
Other values (2) 22
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 479
57.7%
ASCII 351
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
37.9%
1 32
 
9.1%
- 29
 
8.3%
3 26
 
7.4%
7 22
 
6.3%
0 19
 
5.4%
2 18
 
5.1%
5 18
 
5.1%
4 17
 
4.8%
6 15
 
4.3%
Other values (2) 22
 
6.3%
Hangul
ValueCountFrequency (%)
구 45
9.4%
하 43
9.0%
부 40
8.4%
사 40
8.4%
산 40
8.4%
동 40
8.4%
시 40
8.4%
역 40
8.4%
광 40
8.4%
장 16
 
3.3%
Other values (13) 95
19.8%

지목
Categorical

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
대
16 
공장용지
15 
임야
2 
주유소용지
2 
제방
2 
Other values (2)
3 

Length

Max length5
Median length4
Mean length2.6
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
대 16
40.0%
공장용지 15
37.5%
임야 2
 
5.0%
주유소용지 2
 
5.0%
제방 2
 
5.0%
잡종지 2
 
5.0%
종교용지 1
 
2.5%

Length

2024-03-23T05:16:36.728856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:16:37.303621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 16
40.0%
공장용지 15
37.5%
임야 2
 
5.0%
주유소용지 2
 
5.0%
제방 2
 
5.0%
잡종지 2
 
5.0%
종교용지 1
 
2.5%

대지면적(제곱미터)
Real number (ℝ)

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7155.5775
Minimum48
Maximum82598.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:37.816479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile126.99
Q1522.25
median1127.55
Q33216.575
95-th percentile52440.91
Maximum82598.5
Range82550.5
Interquartile range (IQR)2694.325

Descriptive statistics

Standard deviation17299.38
Coefficient of variation (CV)2.4176078
Kurtosis10.547795
Mean7155.5775
Median Absolute Deviation (MAD)769.71
Skewness3.258656
Sum286223.1
Variance2.9926856 × 108
MonotonicityNot monotonic
2024-03-23T05:16:38.257528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1474.0 4
 
10.0%
502.0 2
 
5.0%
661.0 2
 
5.0%
52440.91 2
 
5.0%
128.3 2
 
5.0%
944.0 1
 
2.5%
2340.8 1
 
2.5%
82598.5 1
 
2.5%
102.1 1
 
2.5%
33058.0 1
 
2.5%
Other values (23) 23
57.5%
ValueCountFrequency (%)
48.0 1
2.5%
102.1 1
2.5%
128.3 2
5.0%
217.4 1
2.5%
303.88 1
2.5%
411.8 1
2.5%
425.0 1
2.5%
502.0 2
5.0%
529.0 1
2.5%
599.8 1
2.5%
ValueCountFrequency (%)
82598.5 1
2.5%
52440.91 2
5.0%
33058.0 1
2.5%
10342.0 1
2.5%
8539.0 1
2.5%
4968.1 1
2.5%
4866.4 1
2.5%
3933.0 1
2.5%
3346.7 1
2.5%
3173.2 1
2.5%

건축면적(제곱미터)
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2584.2809
Minimum34.92
Maximum57961.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:38.754274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.92
5-th percentile72.5845
Q1253.575
median491.635
Q3691.47
95-th percentile5400.6819
Maximum57961.87
Range57926.95
Interquartile range (IQR)437.895

Descriptive statistics

Standard deviation9195.7513
Coefficient of variation (CV)3.5583404
Kurtosis36.106664
Mean2584.2809
Median Absolute Deviation (MAD)241.525
Skewness5.8982315
Sum103371.24
Variance84561842
MonotonicityNot monotonic
2024-03-23T05:16:39.339336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
609.29 4
 
10.0%
76.95 2
 
5.0%
344.44 2
 
5.0%
576.79 1
 
2.5%
10072.249 1
 
2.5%
503.1 1
 
2.5%
1664.15 1
 
2.5%
57961.87 1
 
2.5%
60.89 1
 
2.5%
4826.17 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
34.92 1
2.5%
60.89 1
2.5%
73.2 1
2.5%
76.95 2
5.0%
130.16 1
2.5%
161.51 1
2.5%
181.63 1
2.5%
216.75 1
2.5%
242.25 1
2.5%
257.35 1
2.5%
ValueCountFrequency (%)
57961.87 1
2.5%
10072.249 1
2.5%
5154.81 1
2.5%
4826.17 1
2.5%
4577.22 1
2.5%
3874.84 1
2.5%
3050.219 1
2.5%
1664.15 1
2.5%
786.5 1
2.5%
740.4 1
2.5%

연면적(제곱미터)
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4366.4417
Minimum139.68
Maximum83724.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:39.812401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139.68
5-th percentile160.6255
Q1596.37
median938.9825
Q32596.8025
95-th percentile10839.148
Maximum83724.9
Range83585.22
Interquartile range (IQR)2000.4325

Descriptive statistics

Standard deviation13361.396
Coefficient of variation (CV)3.0600194
Kurtosis34.023374
Mean4366.4417
Median Absolute Deviation (MAD)735.3975
Skewness5.6783644
Sum174657.67
Variance1.7852691 × 108
MonotonicityNot monotonic
2024-03-23T05:16:40.388969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1759.82 4
 
10.0%
199.23 2
 
5.0%
633.58 2
 
5.0%
1267.58 1
 
2.5%
19034.199 1
 
2.5%
1240.58 1
 
2.5%
6324.92 1
 
2.5%
83724.9 1
 
2.5%
248.52 1
 
2.5%
10407.83 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
139.68 1
2.5%
143.82 1
2.5%
161.51 1
2.5%
199.23 2
5.0%
207.94 1
2.5%
248.52 1
2.5%
388.6 1
2.5%
480.17 1
2.5%
594.15 1
2.5%
597.11 1
2.5%
ValueCountFrequency (%)
83724.9 1
2.5%
19034.199 1
2.5%
10407.83 1
2.5%
9080.66 1
2.5%
6324.92 1
2.5%
4822.766 1
2.5%
4815.94 1
2.5%
4597.62 1
2.5%
3761.01 1
2.5%
3081.28 1
2.5%

증축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing22
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean308.01972
Minimum27.9
Maximum954.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:40.972677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.9
5-th percentile46.5745
Q1124.4975
median152.32
Q3497.21125
95-th percentile739.4805
Maximum954.42
Range926.52
Interquartile range (IQR)372.71375

Descriptive statistics

Standard deviation269.924
Coefficient of variation (CV)0.8763205
Kurtosis0.21875546
Mean308.01972
Median Absolute Deviation (MAD)113.435
Skewness1.106019
Sum5544.355
Variance72858.964
MonotonicityNot monotonic
2024-03-23T05:16:41.450542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
633.58 2
 
5.0%
299.77 1
 
2.5%
369.16 1
 
2.5%
122.45 1
 
2.5%
27.9 1
 
2.5%
701.55 1
 
2.5%
539.895 1
 
2.5%
135.04 1
 
2.5%
109.38 1
 
2.5%
143.82 1
 
2.5%
Other values (7) 7
 
17.5%
(Missing) 22
55.0%
ValueCountFrequency (%)
27.9 1
2.5%
49.87 1
2.5%
109.38 1
2.5%
112.5 1
2.5%
122.45 1
2.5%
130.64 1
2.5%
135.04 1
2.5%
139.68 1
2.5%
143.82 1
2.5%
160.82 1
2.5%
ValueCountFrequency (%)
954.42 1
2.5%
701.55 1
2.5%
633.58 2
5.0%
539.895 1
2.5%
369.16 1
2.5%
299.77 1
2.5%
280.3 1
2.5%
160.82 1
2.5%
143.82 1
2.5%
139.68 1
2.5%

건폐율(퍼센트)
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.52365
Minimum14.2162
Maximum77.9944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:41.875948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.2162
5-th percentile15.426455
Q135.821375
median54.04675
Q363.364575
95-th percentile73.001
Maximum77.9944
Range63.7782
Interquartile range (IQR)27.5432

Descriptive statistics

Standard deviation20.186065
Coefficient of variation (CV)0.41600467
Kurtosis-1.0943504
Mean48.52365
Median Absolute Deviation (MAD)13.1825
Skewness-0.46852316
Sum1940.946
Variance407.47722
MonotonicityNot monotonic
2024-03-23T05:16:42.410394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
41.34 4
 
10.0%
59.97 2
 
5.0%
68.61 2
 
5.0%
58.16 1
 
2.5%
19.21 1
 
2.5%
53.29 1
 
2.5%
71.09 1
 
2.5%
70.173 1
 
2.5%
59.6376 1
 
2.5%
14.5991 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
14.2162 1
2.5%
14.5991 1
2.5%
15.47 1
2.5%
18.1 1
2.5%
18.78 1
2.5%
19.21 1
2.5%
19.35 1
2.5%
20.61 1
2.5%
21.28 1
2.5%
22.12 1
2.5%
ValueCountFrequency (%)
77.9944 1
2.5%
77.77 1
2.5%
72.75 1
2.5%
71.09 1
2.5%
70.29 1
2.5%
70.173 1
2.5%
69.4 1
2.5%
68.61 2
5.0%
65.4183 1
2.5%
62.68 1
2.5%

용적률(퍼센트)
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.78069
Minimum14.2162
Maximum613.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:42.921924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.2162
5-th percentile17.8925
Q144.0175
median105.1072
Q3145.83893
95-th percentile292.53
Maximum613.73
Range599.5138
Interquartile range (IQR)101.82143

Descriptive statistics

Standard deviation112.52579
Coefficient of variation (CV)0.90907384
Kurtosis8.2936746
Mean123.78069
Median Absolute Deviation (MAD)50.1728
Skewness2.3809743
Sum4951.2277
Variance12662.053
MonotonicityNot monotonic
2024-03-23T05:16:43.315441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
119.39 4
 
10.0%
155.28 2
 
5.0%
126.21 2
 
5.0%
105.29 1
 
2.5%
31.08 1
 
2.5%
100.84 1
 
2.5%
256.02 1
 
2.5%
96.3338 1
 
2.5%
243.4084 1
 
2.5%
23.1209 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
14.2162 1
2.5%
15.47 1
2.5%
18.02 1
2.5%
20.46 1
2.5%
20.65 1
2.5%
23.1209 1
2.5%
27.3 1
2.5%
31.08 1
2.5%
36.35 1
2.5%
36.36 1
2.5%
ValueCountFrequency (%)
613.73 1
2.5%
321.6 1
2.5%
291.0 1
2.5%
256.02 1
2.5%
243.4084 1
2.5%
239.1122 1
2.5%
219.7 1
2.5%
205.36 1
2.5%
155.28 2
5.0%
142.6919 1
2.5%

허가일
Date

Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2023-03-30 00:00:00
Maximum2024-02-21 00:00:00
2024-03-23T05:16:43.768975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:16:44.136190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

최대지상층수
Real number (ℝ)

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.675
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:44.571524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q33
95-th percentile5.05
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.4916434
Coefficient of variation (CV)0.5576237
Kurtosis3.1066929
Mean2.675
Median Absolute Deviation (MAD)1
Skewness1.3254024
Sum107
Variance2.225
MonotonicityNot monotonic
2024-03-23T05:16:45.242145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 14
35.0%
1 10
25.0%
2 8
20.0%
4 5
 
12.5%
8 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
ValueCountFrequency (%)
1 10
25.0%
2 8
20.0%
3 14
35.0%
4 5
 
12.5%
5 1
 
2.5%
6 1
 
2.5%
8 1
 
2.5%
ValueCountFrequency (%)
8 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
4 5
 
12.5%
3 14
35.0%
2 8
20.0%
1 10
25.0%

최대지하층수
Categorical

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
0
16 
<NA>
13 
1
9 
2
2 

Length

Max length4
Median length1
Mean length1.975
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
40.0%
<NA> 13
32.5%
1 9
22.5%
2 2
 
5.0%

Length

2024-03-23T05:16:45.828303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:16:46.367531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
40.0%
na 13
32.5%
1 9
22.5%
2 2
 
5.0%

최고높이(m)
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.4905
Minimum3.3
Maximum35.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:46.820465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile5.7335
Q18.3
median12.2
Q316.85
95-th percentile33.65
Maximum35.74
Range32.44
Interquartile range (IQR)8.55

Descriptive statistics

Standard deviation8.5266247
Coefficient of variation (CV)0.5884286
Kurtosis0.62539802
Mean14.4905
Median Absolute Deviation (MAD)4.25
Skewness1.2271983
Sum579.62
Variance72.703328
MonotonicityNot monotonic
2024-03-23T05:16:47.224259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
25.4 4
 
10.0%
10.6 2
 
5.0%
12.2 2
 
5.0%
7.85 1
 
2.5%
12.82 1
 
2.5%
14.0 1
 
2.5%
34.6 1
 
2.5%
13.4 1
 
2.5%
13.6 1
 
2.5%
31.01 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
3.3 1
2.5%
5.42 1
2.5%
5.75 1
2.5%
6.4 1
2.5%
6.7 1
2.5%
6.9 1
2.5%
7.2 1
2.5%
7.85 1
2.5%
7.9 1
2.5%
8.0 1
2.5%
ValueCountFrequency (%)
35.74 1
 
2.5%
34.6 1
 
2.5%
33.6 1
 
2.5%
31.01 1
 
2.5%
25.4 4
10.0%
18.45 1
 
2.5%
17.0 1
 
2.5%
16.8 1
 
2.5%
14.6 1
 
2.5%
14.0 1
 
2.5%

동수
Real number (ℝ)

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.35
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T05:16:47.638937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6.85
Maximum36
Range35
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.4153262
Coefficient of variation (CV)1.9150227
Kurtosis19.467104
Mean3.35
Median Absolute Deviation (MAD)0
Skewness4.3094767
Sum134
Variance41.15641
MonotonicityNot monotonic
2024-03-23T05:16:48.120266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 21
52.5%
2 8
 
20.0%
3 4
 
10.0%
6 3
 
7.5%
4 2
 
5.0%
23 1
 
2.5%
36 1
 
2.5%
ValueCountFrequency (%)
1 21
52.5%
2 8
 
20.0%
3 4
 
10.0%
4 2
 
5.0%
6 3
 
7.5%
23 1
 
2.5%
36 1
 
2.5%
ValueCountFrequency (%)
36 1
 
2.5%
23 1
 
2.5%
6 3
 
7.5%
4 2
 
5.0%
3 4
 
10.0%
2 8
 
20.0%
1 21
52.5%

주용도
Categorical

Distinct12
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
공장
11 
제2종근린생활시설
6 
창고시설
4 
자원순환관련시설
4 
노유자시설
3 
Other values (7)
12 

Length

Max length10
Median length8
Mean length5.575
Min length2

Unique

Unique3 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
공장 11
27.5%
제2종근린생활시설 6
15.0%
창고시설 4
 
10.0%
자원순환관련시설 4
 
10.0%
노유자시설 3
 
7.5%
문화및집회시설 3
 
7.5%
제1종근린생활시설 2
 
5.0%
업무시설 2
 
5.0%
위험물저장및처리시설 2
 
5.0%
교육연구시설 1
 
2.5%
Other values (2) 2
 
5.0%

Length

2024-03-23T05:16:48.728025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장 11
27.5%
제2종근린생활시설 6
15.0%
창고시설 4
 
10.0%
자원순환관련시설 4
 
10.0%
노유자시설 3
 
7.5%
문화및집회시설 3
 
7.5%
제1종근린생활시설 2
 
5.0%
업무시설 2
 
5.0%
위험물저장및처리시설 2
 
5.0%
교육연구시설 1
 
2.5%
Other values (2) 2
 
5.0%

부속용도
Text

MISSING 

Distinct9
Distinct (%)90.0%
Missing30
Missing (%)75.0%
Memory size452.0 B
2024-03-23T05:16:49.186693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length6.1
Min length3

Characters and Unicode

Total characters61
Distinct characters41
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

Unique8 ?
Unique (%)80.0%

Sample

1st row공공업무시설
2nd row공공업무시설
3rd row어린이집
4th row교육연구시설(교육관)
5th row유치원
ValueCountFrequency (%)
공공업무시설 2
18.2%
어린이집 1
9.1%
교육연구시설(교육관 1
9.1%
유치원 1
9.1%
제1종근린생활시설 1
9.1%
휴게음식점 1
9.1%
액화수소 1
9.1%
충전소 1
9.1%
일반공장 1
9.1%
종교집회장 1
9.1%
2024-03-23T05:16:50.382273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 5
 
8.2%
시 4
 
6.6%
설 4
 
6.6%
교 3
 
4.9%
소 2
 
3.3%
업 2
 
3.3%
종 2
 
3.3%
육 2
 
3.3%
집 2
 
3.3%
린 2
 
3.3%
Other values (31) 33
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57
93.4%
Space Separator 1
 
1.6%
Decimal Number 1
 
1.6%
Close Punctuation 1
 
1.6%
Open Punctuation 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 5
 
8.8%
시 4
 
7.0%
설 4
 
7.0%
교 3
 
5.3%
소 2
 
3.5%
업 2
 
3.5%
종 2
 
3.5%
육 2
 
3.5%
집 2
 
3.5%
린 2
 
3.5%
Other values (27) 29
50.9%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57
93.4%
Common 4
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 5
 
8.8%
시 4
 
7.0%
설 4
 
7.0%
교 3
 
5.3%
소 2
 
3.5%
업 2
 
3.5%
종 2
 
3.5%
육 2
 
3.5%
집 2
 
3.5%
린 2
 
3.5%
Other values (27) 29
50.9%
Common
ValueCountFrequency (%)
1
25.0%
1 1
25.0%
) 1
25.0%
( 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57
93.4%
ASCII 4
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 5
 
8.8%
시 4
 
7.0%
설 4
 
7.0%
교 3
 
5.3%
소 2
 
3.5%
업 2
 
3.5%
종 2
 
3.5%
육 2
 
3.5%
집 2
 
3.5%
린 2
 
3.5%
Other values (27) 29
50.9%
ASCII
ValueCountFrequency (%)
1
25.0%
1 1
25.0%
) 1
25.0%
( 1
25.0%

용도지역
Categorical

Distinct11
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
전용공업지역
8 
일반공업지역
8 
준주거지역
6 
제2종일반주거지역
5 
준공업지역
5 
Other values (6)
8 

Length

Max length13
Median length6
Mean length6.35
Min length5

Unique

Unique5 ?
Unique (%)12.5%

Sample

1st row전용공업지역
2nd row자연녹지지역
3rd row제3종일반주거지역
4th row제2종일반주거지역
5th row준주거지역

Common Values

ValueCountFrequency (%)
전용공업지역 8
20.0%
일반공업지역 8
20.0%
준주거지역 6
15.0%
제2종일반주거지역 5
12.5%
준공업지역 5
12.5%
자연녹지지역 3
 
7.5%
제3종일반주거지역 1
 
2.5%
일반상업지역 1
 
2.5%
일반주거지역 1
 
2.5%
가로구역별최고높이제한지역 1
 
2.5%

Length

2024-03-23T05:16:51.081123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전용공업지역 8
20.0%
일반공업지역 8
20.0%
준주거지역 6
15.0%
제2종일반주거지역 5
12.5%
준공업지역 5
12.5%
자연녹지지역 3
 
7.5%
제3종일반주거지역 1
 
2.5%
일반상업지역 1
 
2.5%
일반주거지역 1
 
2.5%
가로구역별최고높이제한지역 1
 
2.5%

용도지구
Categorical

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
24 
비행안전구역
8 
방화지구
4 
중요시설물보호지구(항만)
4 

Length

Max length13
Median length4
Mean length5.3
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
60.0%
비행안전구역 8
 
20.0%
방화지구 4
 
10.0%
중요시설물보호지구(항만) 4
 
10.0%

Length

2024-03-23T05:16:51.874929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:16:52.932062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
60.0%
비행안전구역 8
 
20.0%
방화지구 4
 
10.0%
중요시설물보호지구(항만 4
 
10.0%

용도구역
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
26 
상대보호구역
10 
비행안전구역
 
2
공업용지
 
1
제3종 구역
 
1

Length

Max length6
Median length4
Mean length4.65
Min length4

Unique

Unique2 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
65.0%
상대보호구역 10
 
25.0%
비행안전구역 2
 
5.0%
공업용지 1
 
2.5%
제3종 구역 1
 
2.5%

Length

2024-03-23T05:16:53.427336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:16:53.875182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
63.4%
상대보호구역 10
 
24.4%
비행안전구역 2
 
4.9%
공업용지 1
 
2.4%
제3종 1
 
2.4%
구역 1
 
2.4%

설계사무소명
Text

Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T05:16:54.484532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length10.85
Min length8

Characters and Unicode

Total characters434
Distinct characters79
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)62.5%

Sample

1st row우림 건축사사무소
2nd row호진 건축사사무소
3rd row(주)해공A&E건축사사무소
4th row(주)해공A&E건축사사무소
5th row명보 건축사사무소
ValueCountFrequency (%)
건축사사무소 19
28.8%
동강 4
 
6.1%
주)해공a&e건축사사무소 3
 
4.5%
모노리스 2
 
3.0%
명보 2
 
3.0%
호진 2
 
3.0%
a.n종합건축사사무소 2
 
3.0%
건축사 2
 
3.0%
사무소 2
 
3.0%
지방 1
 
1.5%
Other values (27) 27
40.9%
2024-03-23T05:16:55.752441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 82
18.9%
건 41
 
9.4%
축 41
 
9.4%
무 39
 
9.0%
소 39
 
9.0%
26
 
6.0%
합 8
 
1.8%
종 8
 
1.8%
주 8
 
1.8%
) 7
 
1.6%
Other values (69) 135
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
86.9%
Space Separator 26
 
6.0%
Uppercase Letter 10
 
2.3%
Close Punctuation 7
 
1.6%
Open Punctuation 7
 
1.6%
Other Punctuation 6
 
1.4%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 82
21.8%
건 41
10.9%
축 41
10.9%
무 39
 
10.3%
소 39
 
10.3%
합 8
 
2.1%
종 8
 
2.1%
주 8
 
2.1%
이 6
 
1.6%
스 6
 
1.6%
Other values (60) 99
26.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
50.0%
E 3
30.0%
N 2
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 3
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
86.9%
Common 46
 
10.6%
Latin 10
 
2.3%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 82
21.8%
건 41
10.9%
축 41
10.9%
무 39
 
10.3%
소 39
 
10.3%
합 8
 
2.1%
종 8
 
2.1%
주 8
 
2.1%
이 6
 
1.6%
스 6
 
1.6%
Other values (60) 99
26.3%
Common
ValueCountFrequency (%)
26
56.5%
) 7
 
15.2%
( 7
 
15.2%
. 3
 
6.5%
& 3
 
6.5%
Latin
ValueCountFrequency (%)
A 5
50.0%
E 3
30.0%
N 2
 
20.0%
Han
ValueCountFrequency (%)
時 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
86.6%
ASCII 56
 
12.9%
CJK 1
 
0.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 82
21.8%
건 41
10.9%
축 41
10.9%
무 39
 
10.4%
소 39
 
10.4%
합 8
 
2.1%
종 8
 
2.1%
주 8
 
2.1%
이 6
 
1.6%
스 6
 
1.6%
Other values (59) 98
26.1%
ASCII
ValueCountFrequency (%)
26
46.4%
) 7
 
12.5%
( 7
 
12.5%
A 5
 
8.9%
E 3
 
5.4%
. 3
 
5.4%
& 3
 
5.4%
N 2
 
3.6%
CJK
ValueCountFrequency (%)
時 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

감리사무소명
Text

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T05:16:56.407467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length10.8
Min length5

Characters and Unicode

Total characters432
Distinct characters74
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)70.0%

Sample

1st row우림 건축사사무소
2nd row건축사사무소 수공
3rd row(주)해공A&E건축사사무소
4th row(주)해공A&E건축사사무소
5th row(주)필 건축사사무소
ValueCountFrequency (%)
건축사사무소 17
26.6%
동강 4
 
6.2%
주식회사 3
 
4.7%
주)필 2
 
3.1%
수공 2
 
3.1%
인터건축사사무소(주 2
 
3.1%
주)해공a&e건축사사무소 2
 
3.1%
주)삼안 1
 
1.6%
수오재 1
 
1.6%
종합건축사사무소 1
 
1.6%
Other values (29) 29
45.3%
2024-03-23T05:16:57.418452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 81
18.8%
건 42
 
9.7%
축 41
 
9.5%
무 38
 
8.8%
소 38
 
8.8%
24
 
5.6%
주 15
 
3.5%
( 13
 
3.0%
) 13
 
3.0%
종 9
 
2.1%
Other values (64) 118
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
86.3%
Space Separator 24
 
5.6%
Open Punctuation 13
 
3.0%
Close Punctuation 13
 
3.0%
Uppercase Letter 4
 
0.9%
Other Punctuation 2
 
0.5%
Lowercase Letter 2
 
0.5%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 81
21.7%
건 42
11.3%
축 41
11.0%
무 38
10.2%
소 38
10.2%
주 15
 
4.0%
종 9
 
2.4%
합 8
 
2.1%
공 6
 
1.6%
이 5
 
1.3%
Other values (55) 90
24.1%
Uppercase Letter
ValueCountFrequency (%)
E 2
50.0%
A 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
86.6%
Common 52
 
12.0%
Latin 6
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 81
21.7%
건 42
11.2%
축 41
11.0%
무 38
10.2%
소 38
10.2%
주 15
 
4.0%
종 9
 
2.4%
합 8
 
2.1%
공 6
 
1.6%
이 5
 
1.3%
Other values (56) 91
24.3%
Common
ValueCountFrequency (%)
24
46.2%
( 13
25.0%
) 13
25.0%
& 2
 
3.8%
Latin
ValueCountFrequency (%)
E 2
33.3%
A 2
33.3%
e 1
16.7%
h 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
86.3%
ASCII 58
 
13.4%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 81
21.7%
건 42
11.3%
축 41
11.0%
무 38
10.2%
소 38
10.2%
주 15
 
4.0%
종 9
 
2.4%
합 8
 
2.1%
공 6
 
1.6%
이 5
 
1.3%
Other values (55) 90
24.1%
ASCII
ValueCountFrequency (%)
24
41.4%
( 13
22.4%
) 13
22.4%
E 2
 
3.4%
& 2
 
3.4%
A 2
 
3.4%
e 1
 
1.7%
h 1
 
1.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

시공자사무소명
Text

MISSING 

Distinct27
Distinct (%)77.1%
Missing5
Missing (%)12.5%
Memory size452.0 B
2024-03-23T05:16:58.042154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.9428571
Min length6

Characters and Unicode

Total characters313
Distinct characters71
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

Unique23 ?
Unique (%)65.7%

Sample

1st row(주)윤창종합건설
2nd row(주)태평양기술단
3rd row(주)태평양기술단
4th row부경종합건설주식회사
5th row부경종합건설주식회사
ValueCountFrequency (%)
주)태평양기술단 4
 
10.8%
주)세아네트웍스 4
 
10.8%
다온나루건설(주 2
 
5.4%
부경종합건설주식회사 2
 
5.4%
주식회사 2
 
5.4%
한토종합건설(주 1
 
2.7%
주)더한종합건설 1
 
2.7%
한동종합건설(주 1
 
2.7%
주)도영종합건설 1
 
2.7%
엠케이종합건설(주 1
 
2.7%
Other values (18) 18
48.6%
2024-03-23T05:16:59.111634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
11.2%
) 29
 
9.3%
( 29
 
9.3%
건 23
 
7.3%
설 21
 
6.7%
합 15
 
4.8%
종 15
 
4.8%
스 9
 
2.9%
회 6
 
1.9%
식 6
 
1.9%
Other values (61) 125
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
79.9%
Close Punctuation 29
 
9.3%
Open Punctuation 29
 
9.3%
Decimal Number 3
 
1.0%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
14.0%
건 23
 
9.2%
설 21
 
8.4%
합 15
 
6.0%
종 15
 
6.0%
스 9
 
3.6%
회 6
 
2.4%
식 6
 
2.4%
사 6
 
2.4%
양 5
 
2.0%
Other values (56) 109
43.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
0 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
79.9%
Common 63
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
14.0%
건 23
 
9.2%
설 21
 
8.4%
합 15
 
6.0%
종 15
 
6.0%
스 9
 
3.6%
회 6
 
2.4%
식 6
 
2.4%
사 6
 
2.4%
양 5
 
2.0%
Other values (56) 109
43.6%
Common
ValueCountFrequency (%)
) 29
46.0%
( 29
46.0%
1 2
 
3.2%
2
 
3.2%
0 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
79.9%
ASCII 63
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
14.0%
건 23
 
9.2%
설 21
 
8.4%
합 15
 
6.0%
종 15
 
6.0%
스 9
 
3.6%
회 6
 
2.4%
식 6
 
2.4%
사 6
 
2.4%
양 5
 
2.0%
Other values (56) 109
43.6%
ASCII
ValueCountFrequency (%)
) 29
46.0%
( 29
46.0%
1 2
 
3.2%
2
 
3.2%
0 1
 
1.6%

Sample

건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)허가일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명
0증축2024-건축과-증축허가-3부산광역시 사하구 장림동 1089-15공장용지991.7576.791267.58109.3858.16105.292024-02-211<NA>7.852공장<NA>전용공업지역<NA><NA>우림 건축사사무소우림 건축사사무소<NA>
1증축2023-건축과-공용건축물-26부산광역시 사하구 다대동 371-9 외9필지임야52440.9173.2143.82143.8219.3536.362023-12-192<NA>6.41제1종근린생활시설공공업무시설자연녹지지역<NA><NA>호진 건축사사무소건축사사무소 수공(주)윤창종합건설
2대수선2023-건축과-협의건축물-6부산광역시 사하구 다대동 120-35대661.0361.01026.1<NA>54.6142104.92442023-12-05219.41업무시설공공업무시설제3종일반주거지역<NA>상대보호구역(주)해공A&E건축사사무소(주)해공A&E건축사사무소(주)태평양기술단
3대수선2023-건축과-협의건축물-5부산광역시 사하구 괴정동 1075-7대599.8242.25597.11<NA>40.388576.27882023-12-01218.01노유자시설어린이집제2종일반주거지역<NA><NA>(주)해공A&E건축사사무소(주)해공A&E건축사사무소(주)태평양기술단
4신축2023-건축과-신축허가-24부산광역시 사하구 괴정동 577-24대128.376.95199.23<NA>59.97155.282023-11-203010.61제2종근린생활시설<NA>준주거지역<NA>상대보호구역명보 건축사사무소(주)필 건축사사무소부경종합건설주식회사
5신축2023-건축과-신축허가-24부산광역시 사하구 괴정동 577-24대128.376.95199.23<NA>59.97155.282023-11-203010.61제2종근린생활시설<NA>준주거지역<NA>상대보호구역명보 건축사사무소(주)필 건축사사무소부경종합건설주식회사
6대수선2023-건축과-대수선허가-5부산광역시 사하구 하단동 589-20대411.8320.253081.28<NA>77.77613.732023-11-178233.61제2종근린생활시설<NA>일반상업지역방화지구<NA>건축사사무소 가전건축건축사사무소 가전건축(주)더한종합건설
7신축2023-건축과-신축허가-21부산광역시 사하구 당리동 317-28대1136.1161.51161.51<NA>14.216214.21622023-10-26105.421제1종근린생활시설<NA>준주거지역<NA>상대보호구역호진 건축사사무소이숨건축사사무소<NA>
8증축2023-건축과-증축허가-20부산광역시 사하구 장림동 241-8대303.88181.63860.97130.6459.77219.72023-10-164116.81문화및집회시설교육연구시설(교육관)일반주거지역<NA>상대보호구역시공종합 건축사사무소시공종합 건축사사무소한동종합건설(주)
9대수선2023-건축과-공용건축물-21부산광역시 사하구 신평동 630-8대217.4130.16635.68<NA>59.8712239.11222023-10-134114.61노유자시설<NA>제2종일반주거지역비행안전구역상대보호구역주식회사조이건축사사무소엠디건축사사무소 주식회사에스알건설(주)
건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)허가일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명
30신축2023-건축과-신축허가-11부산광역시 사하구 장림동 906 외3필지공장용지1474.0609.291759.82<NA>41.34119.392023-06-143025.41자원순환관련시설<NA>전용공업지역비행안전구역<NA>동강 건축사사무소동강 건축사사무소(주)세아네트웍스
31신축2023-건축과-신축허가-11부산광역시 사하구 장림동 906 외3필지공장용지1474.0609.291759.82<NA>41.34119.392023-06-143025.41자원순환관련시설<NA>전용공업지역비행안전구역<NA>동강 건축사사무소동강 건축사사무소(주)세아네트웍스
32신축2023-건축과-신축허가-11부산광역시 사하구 장림동 906 외3필지공장용지1474.0609.291759.82<NA>41.34119.392023-06-143025.41자원순환관련시설<NA>전용공업지역비행안전구역<NA>동강 건축사사무소동강 건축사사무소(주)세아네트웍스
33신축2023-건축과-신축허가-10부산광역시 사하구 장림동 1080공장용지2876.0520.72594.15<NA>18.120.652023-06-08106.73위험물저장및처리시설액화수소 충전소전용공업지역<NA>비행안전구역지방. 時 건축사 사무소(주)삼안(주)한국종합기술
34증축2023-건축과-증축허가-11부산광역시 사하구 다대동 1506-3공장용지4866.43050.2194822.766539.89562.6893.22023-06-081013.954공장일반공장일반공업지역비행안전구역<NA>에이치투건축사사무소(주)이앤건축사사무소주식회사 계명종합건설
35증축2023-건축과-증축허가-9부산광역시 사하구 구평동 422-3 외3필지공장용지10342.05154.814815.94701.5549.8446.572023-05-191<NA>7.96위험물저장및처리시설<NA>일반공업지역중요시설물보호지구(항만)<NA>금재 건축사사무소건축사사무소 이가엠케이종합건설(주)
36증축2023-건축과-증축허가-8부산광역시 사하구 신평동 370-31공장용지8539.04577.229080.6627.953.6105.462023-05-082<NA>6.96공장<NA>전용공업지역<NA><NA>종합건축사사무소 시안종합건축사사무소 시안(주)도영종합건설
37증축2023-건축과-증축허가-7부산광역시 사하구 괴정동 475-1 외3필지종교용지2593.2534.362435.31122.4520.6136.352023-05-043217.03문화및집회시설종교집회장제2종일반주거지역<NA><NA>수오재 건축사사무소수오재 건축사사무소<NA>
38신축2023-건축과-신축허가-9부산광역시 사하구 장림동 475-2공장용지425.0294.93872.76<NA>69.4205.362023-04-123018.451공장<NA>준공업지역<NA><NA>(주)에이앤지종합건축사사무소심상건축사사무소(주)삼강티앤에스
39증축2023-건축과-증축허가-5부산광역시 사하구 구평동 495-23 외1필지공장용지3173.2675.16649.16369.1621.2820.462023-03-30108.44공장<NA>일반공업지역<NA><NA>하우드건축사(사)하우드건축사(사)<NA>

Duplicate rows

Most frequently occurring

건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)허가일최대지상층수최대지하층수최고높이(m)동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명# duplicates
0신축2023-건축과-신축허가-11부산광역시 사하구 장림동 906 외3필지공장용지1474.0609.291759.82<NA>41.34119.392023-06-143025.41자원순환관련시설<NA>전용공업지역비행안전구역<NA>동강 건축사사무소동강 건축사사무소(주)세아네트웍스4
1신축2023-건축과-신축허가-24부산광역시 사하구 괴정동 577-24대128.376.95199.23<NA>59.97155.282023-11-203010.61제2종근린생활시설<NA>준주거지역<NA>상대보호구역명보 건축사사무소(주)필 건축사사무소부경종합건설주식회사2
2증축2023-건축과-증축허가-15부산광역시 사하구 구평동 377-36공장용지502.0344.44633.58633.5868.61126.212023-07-202<NA>12.21공장<NA>일반공업지역중요시설물보호지구(항만)<NA>모노리스 건축사사무소인터건축사사무소(주)다온나루건설(주)2