Overview

Dataset statistics

Number of variables27
Number of observations59
Missing cells329
Missing cells (%)20.7%
Duplicate rows1
Duplicate rows (%)1.7%
Total size in memory13.2 KiB
Average record size in memory228.2 B

Variable types

Categorical8
Text6
Numeric8
DateTime4
Unsupported1

Dataset

Description부산광역시 사상구 3년간 미준공 착공신고현황(대지면적, 건축면적, 연면적, 건폐율, 용적률 등) 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15051534/fileData.do

Alerts

Dataset has 1 (1.7%) duplicate rowsDuplicates
허가번호 has 11 (18.6%) missing valuesMissing
대지위치 has 11 (18.6%) missing valuesMissing
대지면적(제곱미터) has 11 (18.6%) missing valuesMissing
건축면적(제곱미터) has 11 (18.6%) missing valuesMissing
연면적(제곱미터) has 11 (18.6%) missing valuesMissing
증축연면적(제곱미터) has 47 (79.7%) missing valuesMissing
건폐율(퍼센트) has 11 (18.6%) missing valuesMissing
용적률(퍼센트) has 11 (18.6%) missing valuesMissing
허가일 has 11 (18.6%) missing valuesMissing
최종설계변경일 has 37 (62.7%) missing valuesMissing
착공처리일 has 11 (18.6%) missing valuesMissing
착공예정일 has 12 (20.3%) missing valuesMissing
착공연기일 has 59 (100.0%) missing valuesMissing
최대지상층수 has 11 (18.6%) missing valuesMissing
최고높이(미터) has 11 (18.6%) missing valuesMissing
부속용도 has 18 (30.5%) missing valuesMissing
설계사무소명 has 11 (18.6%) missing valuesMissing
감리사무소명 has 11 (18.6%) missing valuesMissing
시공자사무소명 has 13 (22.0%) missing valuesMissing
착공연기일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최고높이(미터) has 1 (1.7%) zerosZeros

Reproduction

Analysis started2023-12-12 17:18:37.281608
Analysis finished2023-12-12 17:18:37.768120
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
신축
31 
증축
12 
<NA>
11 
대수선
5 

Length

Max length4
Median length2
Mean length2.4576271
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 31
52.5%
증축 12
 
20.3%
<NA> 11
 
18.6%
대수선 5
 
8.5%

Length

2023-12-13T02:18:37.835435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:37.947911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 31
52.5%
증축 12
 
20.3%
na 11
 
18.6%
대수선 5
 
8.5%

허가번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Memory size604.0 B
2023-12-13T02:18:38.172424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length15.916667
Min length15

Characters and Unicode

Total characters764
Distinct characters24
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

Unique48 ?
Unique (%)100.0%

Sample

1st row2023-건축과-증축허가-4
2nd row2023-건축과-증축허가-3
3rd row2023-건축과-신축허가-2
4th row2023-건축과-대수선허가-2
5th row2023-건축과-증축허가-1
ValueCountFrequency (%)
2023-건축과-증축허가-3 1
 
2.1%
2023-건축과-신축허가-2 1
 
2.1%
2021-건축과-신축허가-82 1
 
2.1%
2021-건축과-공용건축물-7 1
 
2.1%
2021-건축과-신축허가-77 1
 
2.1%
2021-건축과-신축허가-76 1
 
2.1%
2021-건축과-공용건축물-6 1
 
2.1%
2021-건축과-공용건축물-5 1
 
2.1%
2021-건축과-증축허가-17 1
 
2.1%
2021-건축과-신축허가-50 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T02:18:38.550275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 144
18.8%
2 127
16.6%
축 92
12.0%
0 63
8.2%
건 55
 
7.2%
과 48
 
6.3%
허 41
 
5.4%
가 41
 
5.4%
1 29
 
3.8%
신 28
 
3.7%
Other values (14) 96
12.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
45.4%
Decimal Number 273
35.7%
Dash Punctuation 144
18.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 92
26.5%
건 55
15.9%
과 48
13.8%
허 41
11.8%
가 41
11.8%
신 28
 
8.1%
증 9
 
2.6%
용 7
 
2.0%
물 7
 
2.0%
공 7
 
2.0%
Other values (3) 12
 
3.5%
Decimal Number
ValueCountFrequency (%)
2 127
46.5%
0 63
23.1%
1 29
 
10.6%
3 17
 
6.2%
6 7
 
2.6%
5 7
 
2.6%
4 7
 
2.6%
8 6
 
2.2%
7 6
 
2.2%
9 4
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 417
54.6%
Hangul 347
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 92
26.5%
건 55
15.9%
과 48
13.8%
허 41
11.8%
가 41
11.8%
신 28
 
8.1%
증 9
 
2.6%
용 7
 
2.0%
물 7
 
2.0%
공 7
 
2.0%
Other values (3) 12
 
3.5%
Common
ValueCountFrequency (%)
- 144
34.5%
2 127
30.5%
0 63
15.1%
1 29
 
7.0%
3 17
 
4.1%
6 7
 
1.7%
5 7
 
1.7%
4 7
 
1.7%
8 6
 
1.4%
7 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417
54.6%
Hangul 347
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 144
34.5%
2 127
30.5%
0 63
15.1%
1 29
 
7.0%
3 17
 
4.1%
6 7
 
1.7%
5 7
 
1.7%
4 7
 
1.7%
8 6
 
1.4%
7 6
 
1.4%
Hangul
ValueCountFrequency (%)
축 92
26.5%
건 55
15.9%
과 48
13.8%
허 41
11.8%
가 41
11.8%
신 28
 
8.1%
증 9
 
2.6%
용 7
 
2.0%
물 7
 
2.0%
공 7
 
2.0%
Other values (3) 12
 
3.5%

대지위치
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Memory size604.0 B
2023-12-13T02:18:38.825392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.75
Min length18

Characters and Unicode

Total characters996
Distinct characters40
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

Unique48 ?
Unique (%)100.0%

Sample

1st row부산광역시 사상구 학장동 376-3
2nd row부산광역시 사상구 괘법동 531-2
3rd row부산광역시 사상구 삼락동 54-1
4th row부산광역시 사상구 주례동 628-1
5th row부산광역시 사상구 괘법동 581-1
ValueCountFrequency (%)
부산광역시 48
23.1%
사상구 48
23.1%
괘법동 15
 
7.2%
감전동 9
 
4.3%
학장동 8
 
3.8%
외1필지 7
 
3.4%
주례동 5
 
2.4%
엄궁동 4
 
1.9%
모라동 3
 
1.4%
외6필지 3
 
1.4%
Other values (55) 58
27.9%
2023-12-13T02:18:39.240222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
16.1%
부 48
 
4.8%
사 48
 
4.8%
동 48
 
4.8%
구 48
 
4.8%
상 48
 
4.8%
산 48
 
4.8%
시 48
 
4.8%
역 48
 
4.8%
광 48
 
4.8%
Other values (30) 404
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 576
57.8%
Decimal Number 216
 
21.7%
Space Separator 160
 
16.1%
Dash Punctuation 44
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 48
 
8.3%
사 48
 
8.3%
동 48
 
8.3%
구 48
 
8.3%
상 48
 
8.3%
산 48
 
8.3%
시 48
 
8.3%
역 48
 
8.3%
광 48
 
8.3%
외 16
 
2.8%
Other values (18) 128
22.2%
Decimal Number
ValueCountFrequency (%)
1 41
19.0%
5 34
15.7%
2 33
15.3%
4 20
9.3%
7 19
8.8%
6 18
8.3%
3 16
 
7.4%
9 15
 
6.9%
8 12
 
5.6%
0 8
 
3.7%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 576
57.8%
Common 420
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 48
 
8.3%
사 48
 
8.3%
동 48
 
8.3%
구 48
 
8.3%
상 48
 
8.3%
산 48
 
8.3%
시 48
 
8.3%
역 48
 
8.3%
광 48
 
8.3%
외 16
 
2.8%
Other values (18) 128
22.2%
Common
ValueCountFrequency (%)
160
38.1%
- 44
 
10.5%
1 41
 
9.8%
5 34
 
8.1%
2 33
 
7.9%
4 20
 
4.8%
7 19
 
4.5%
6 18
 
4.3%
3 16
 
3.8%
9 15
 
3.6%
Other values (2) 20
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 576
57.8%
ASCII 420
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
38.1%
- 44
 
10.5%
1 41
 
9.8%
5 34
 
8.1%
2 33
 
7.9%
4 20
 
4.8%
7 19
 
4.5%
6 18
 
4.3%
3 16
 
3.8%
9 15
 
3.6%
Other values (2) 20
 
4.8%
Hangul
ValueCountFrequency (%)
부 48
 
8.3%
사 48
 
8.3%
동 48
 
8.3%
구 48
 
8.3%
상 48
 
8.3%
산 48
 
8.3%
시 48
 
8.3%
역 48
 
8.3%
광 48
 
8.3%
외 16
 
2.8%
Other values (18) 128
22.2%

지목
Categorical

Distinct8
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
대
34 
<NA>
11 
공장용지
8 
잡종지
 
2
임야
 
1
Other values (3)
 
3

Length

Max length4
Median length1
Mean length2.1864407
Min length1

Unique

Unique4 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
대 34
57.6%
<NA> 11
 
18.6%
공장용지 8
 
13.6%
잡종지 2
 
3.4%
임야 1
 
1.7%
창고용지 1
 
1.7%
철도용지 1
 
1.7%
주차장 1
 
1.7%

Length

2023-12-13T02:18:39.413974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:39.587092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 34
57.6%
na 11
 
18.6%
공장용지 8
 
13.6%
잡종지 2
 
3.4%
임야 1
 
1.7%
창고용지 1
 
1.7%
철도용지 1
 
1.7%
주차장 1
 
1.7%

대지면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean2915.7269
Minimum111
Maximum65670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:39.780891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile250.015
Q1426.725
median885.7
Q31734.4
95-th percentile6627.81
Maximum65670
Range65559
Interquartile range (IQR)1307.675

Descriptive statistics

Standard deviation9554.5401
Coefficient of variation (CV)3.2768982
Kurtosis41.85102
Mean2915.7269
Median Absolute Deviation (MAD)547.3
Skewness6.3262566
Sum139954.89
Variance91289236
MonotonicityNot monotonic
2023-12-13T02:18:39.966980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
950.0 1
 
1.7%
333.1 1
 
1.7%
623.0 1
 
1.7%
1367.9 1
 
1.7%
111.0 1
 
1.7%
3205.0 1
 
1.7%
450.0 1
 
1.7%
854.5 1
 
1.7%
287.0 1
 
1.7%
1462.8 1
 
1.7%
Other values (38) 38
64.4%
(Missing) 11
 
18.6%
ValueCountFrequency (%)
111.0 1
1.7%
210.2 1
1.7%
230.1 1
1.7%
287.0 1
1.7%
318.3 1
1.7%
333.1 1
1.7%
334.2 1
1.7%
335.3 1
1.7%
341.5 1
1.7%
344.5 1
1.7%
ValueCountFrequency (%)
65670.0 1
1.7%
14880.0 1
1.7%
7625.1 1
1.7%
4775.7 1
1.7%
3815.0 1
1.7%
3515.9 1
1.7%
3205.0 1
1.7%
2399.1 1
1.7%
2059.2 1
1.7%
1956.0 1
1.7%

건축면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean1147.1677
Minimum66.58
Maximum12018.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:40.162257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.58
5-th percentile166.021
Q1233.97
median472.3193
Q31169.7875
95-th percentile3671.853
Maximum12018.65
Range11952.07
Interquartile range (IQR)935.8175

Descriptive statistics

Standard deviation2132.8537
Coefficient of variation (CV)1.8592345
Kurtosis17.496376
Mean1147.1677
Median Absolute Deviation (MAD)284.8843
Skewness4.0448548
Sum55064.048
Variance4549065.1
MonotonicityNot monotonic
2023-12-13T02:18:40.326809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
474.1 1
 
1.7%
199.79 1
 
1.7%
285.75 1
 
1.7%
354.75 1
 
1.7%
66.58 1
 
1.7%
1912.5 1
 
1.7%
204.12 1
 
1.7%
463.92 1
 
1.7%
164.39 1
 
1.7%
1169.29 1
 
1.7%
Other values (38) 38
64.4%
(Missing) 11
 
18.6%
ValueCountFrequency (%)
66.58 1
1.7%
124.0 1
1.7%
164.39 1
1.7%
169.05 1
1.7%
172.07 1
1.7%
177.73 1
1.7%
184.74 1
1.7%
190.13 1
1.7%
199.79 1
1.7%
200.0 1
1.7%
ValueCountFrequency (%)
12018.65 1
1.7%
8920.07 1
1.7%
4010.1 1
1.7%
3043.68 1
1.7%
2175.39 1
1.7%
1912.5 1
1.7%
1463.53 1
1.7%
1439.95 1
1.7%
1257.15 1
1.7%
1241.99 1
1.7%

연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean6734.3925
Minimum133.16
Maximum57660.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:40.479300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133.16
5-th percentile381.8
Q1955.95
median1918.32
Q35718.7125
95-th percentile29357.254
Maximum57660.44
Range57527.28
Interquartile range (IQR)4762.7625

Descriptive statistics

Standard deviation11015.097
Coefficient of variation (CV)1.6356482
Kurtosis9.43635
Mean6734.3925
Median Absolute Deviation (MAD)1371.695
Skewness2.8222592
Sum323250.84
Variance1.2133236 × 108
MonotonicityNot monotonic
2023-12-13T02:18:40.665381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1841.86 1
 
1.7%
1379.25 1
 
1.7%
664.66 1
 
1.7%
520.68 1
 
1.7%
133.16 1
 
1.7%
4915.62 1
 
1.7%
707.06 1
 
1.7%
569.51 1
 
1.7%
629.84 1
 
1.7%
20059.6 1
 
1.7%
Other values (38) 38
64.4%
(Missing) 11
 
18.6%
ValueCountFrequency (%)
133.16 1
1.7%
344.14 1
1.7%
372.0 1
1.7%
400.0 1
1.7%
520.68 1
1.7%
523.74 1
1.7%
569.51 1
1.7%
629.84 1
1.7%
664.66 1
1.7%
707.06 1
1.7%
ValueCountFrequency (%)
57660.44 1
1.7%
31435.33 1
1.7%
31242.96 1
1.7%
25855.23 1
1.7%
20059.6 1
1.7%
19411.09 1
1.7%
16319.57 1
1.7%
14822.91 1
1.7%
13193.83 1
1.7%
12479.16 1
1.7%

증축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing47
Missing (%)79.7%
Infinite0
Infinite (%)0.0%
Mean1220.2125
Minimum34.42
Maximum9545.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:40.849462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.42
5-th percentile53.945
Q189.725
median302.635
Q3782.2525
95-th percentile5323.0395
Maximum9545.45
Range9511.03
Interquartile range (IQR)692.5275

Descriptive statistics

Standard deviation2674.2363
Coefficient of variation (CV)2.1916152
Kurtosis10.799363
Mean1220.2125
Median Absolute Deviation (MAD)250.465
Skewness3.2391354
Sum14642.55
Variance7151539.8
MonotonicityNot monotonic
2023-12-13T02:18:41.005266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
760.27 1
 
1.7%
130.0 1
 
1.7%
34.42 1
 
1.7%
69.92 1
 
1.7%
79.42 1
 
1.7%
608.1 1
 
1.7%
1868.34 1
 
1.7%
848.2 1
 
1.7%
93.16 1
 
1.7%
162.5 1
 
1.7%
Other values (2) 2
 
3.4%
(Missing) 47
79.7%
ValueCountFrequency (%)
34.42 1
1.7%
69.92 1
1.7%
79.42 1
1.7%
93.16 1
1.7%
130.0 1
1.7%
162.5 1
1.7%
442.77 1
1.7%
608.1 1
1.7%
760.27 1
1.7%
848.2 1
1.7%
ValueCountFrequency (%)
9545.45 1
1.7%
1868.34 1
1.7%
848.2 1
1.7%
760.27 1
1.7%
608.1 1
1.7%
442.77 1
1.7%
162.5 1
1.7%
130.0 1
1.7%
93.16 1
1.7%
79.42 1
1.7%

건폐율(퍼센트)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)97.9%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean57.719992
Minimum18.3
Maximum79.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:41.160374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.3
5-th percentile35.4565
Q149.9375
median59.015
Q366.805
95-th percentile79.2855
Maximum79.94
Range61.64
Interquartile range (IQR)16.8675

Descriptive statistics

Standard deviation13.633708
Coefficient of variation (CV)0.23620427
Kurtosis0.63667416
Mean57.719992
Median Absolute Deviation (MAD)9.09
Skewness-0.55187937
Sum2770.5596
Variance185.878
MonotonicityNot monotonic
2023-12-13T02:18:41.330195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
59.98 2
 
3.4%
59.95 1
 
1.7%
41.63 1
 
1.7%
45.87 1
 
1.7%
25.93 1
 
1.7%
59.67 1
 
1.7%
45.36 1
 
1.7%
54.29 1
 
1.7%
57.28 1
 
1.7%
79.94 1
 
1.7%
Other values (37) 37
62.7%
(Missing) 11
 
18.6%
ValueCountFrequency (%)
18.3 1
1.7%
25.93 1
1.7%
33.92 1
1.7%
38.31 1
1.7%
41.63 1
1.7%
42.7309 1
1.7%
43.09 1
1.7%
45.36 1
1.7%
45.55 1
1.7%
45.87 1
1.7%
ValueCountFrequency (%)
79.94 1
1.7%
79.78 1
1.7%
79.66 1
1.7%
78.59 1
1.7%
77.24 1
1.7%
75.8 1
1.7%
73.62 1
1.7%
71.87 1
1.7%
70.23 1
1.7%
69.87 1
1.7%

용적률(퍼센트)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean323.85296
Minimum38.06
Maximum1193.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:41.494657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.06
5-th percentile78.1725
Q1126.4075
median178.79
Q3399.6325
95-th percentile1012.82
Maximum1193.71
Range1155.65
Interquartile range (IQR)273.225

Descriptive statistics

Standard deviation306.10954
Coefficient of variation (CV)0.94521148
Kurtosis1.4056089
Mean323.85296
Median Absolute Deviation (MAD)79.055
Skewness1.5815054
Sum15544.942
Variance93703.05
MonotonicityNot monotonic
2023-12-13T02:18:41.661031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
167.55 1
 
1.7%
399.94 1
 
1.7%
106.69 1
 
1.7%
38.06 1
 
1.7%
119.96 1
 
1.7%
82.04 1
 
1.7%
125.4 1
 
1.7%
66.65 1
 
1.7%
219.46 1
 
1.7%
1105.72 1
 
1.7%
Other values (38) 38
64.4%
(Missing) 11
 
18.6%
ValueCountFrequency (%)
38.06 1
1.7%
66.65 1
1.7%
76.09 1
1.7%
82.04 1
1.7%
91.12 1
1.7%
99.57 1
1.7%
99.9 1
1.7%
106.69 1
1.7%
106.8 1
1.7%
119.96 1
1.7%
ValueCountFrequency (%)
1193.71 1
1.7%
1105.72 1
1.7%
1069.17 1
1.7%
908.17 1
1.7%
852.5 1
1.7%
849.8 1
1.7%
823.48 1
1.7%
760.92 1
1.7%
496.86 1
1.7%
478.95 1
1.7%

구조
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
철근콘크리트구조
28 
일반철골구조
17 
<NA>
13 
경량철골구조
 
1

Length

Max length8
Median length6
Mean length6.5084746
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 28
47.5%
일반철골구조 17
28.8%
<NA> 13
22.0%
경량철골구조 1
 
1.7%

Length

2023-12-13T02:18:41.831967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:41.961045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 28
47.5%
일반철골구조 17
28.8%
na 13
22.0%
경량철골구조 1
 
1.7%

허가일
Date

MISSING 

Distinct45
Distinct (%)93.8%
Missing11
Missing (%)18.6%
Memory size604.0 B
Minimum2020-04-17 00:00:00
Maximum2023-02-27 00:00:00
2023-12-13T02:18:42.078792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:42.217313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

최종설계변경일
Date

MISSING 

Distinct22
Distinct (%)100.0%
Missing37
Missing (%)62.7%
Memory size604.0 B
Minimum2021-08-19 00:00:00
Maximum2023-03-31 00:00:00
2023-12-13T02:18:42.335389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:42.464730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

착공처리일
Date

MISSING 

Distinct44
Distinct (%)91.7%
Missing11
Missing (%)18.6%
Memory size604.0 B
Minimum2020-05-29 00:00:00
Maximum2023-04-04 00:00:00
2023-12-13T02:18:42.608602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:42.775359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

착공예정일
Date

MISSING 

Distinct46
Distinct (%)97.9%
Missing12
Missing (%)20.3%
Memory size604.0 B
Minimum2020-05-26 00:00:00
Maximum2023-04-08 00:00:00
2023-12-13T02:18:42.925238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:43.309424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

착공연기일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

최대지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)35.4%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean7.2291667
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:43.478346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q39.25
95-th percentile20
Maximum25
Range24
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation6.4979197
Coefficient of variation (CV)0.89884769
Kurtosis0.71463324
Mean7.2291667
Median Absolute Deviation (MAD)2
Skewness1.391691
Sum347
Variance42.222961
MonotonicityNot monotonic
2023-12-13T02:18:43.613276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 10
16.9%
2 8
13.6%
3 7
11.9%
5 6
10.2%
20 3
 
5.1%
8 2
 
3.4%
14 2
 
3.4%
11 1
 
1.7%
17 1
 
1.7%
1 1
 
1.7%
Other values (7) 7
11.9%
(Missing) 11
18.6%
ValueCountFrequency (%)
1 1
 
1.7%
2 8
13.6%
3 7
11.9%
4 10
16.9%
5 6
10.2%
6 1
 
1.7%
8 2
 
3.4%
9 1
 
1.7%
10 1
 
1.7%
11 1
 
1.7%
ValueCountFrequency (%)
25 1
 
1.7%
23 1
 
1.7%
20 3
5.1%
19 1
 
1.7%
17 1
 
1.7%
15 1
 
1.7%
14 2
3.4%
11 1
 
1.7%
10 1
 
1.7%
9 1
 
1.7%

최대지하층수
Categorical

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
20 
1
16 
0
15 
2
6 
4
 
2

Length

Max length4
Median length1
Mean length2.0169492
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
33.9%
1 16
27.1%
0 15
25.4%
2 6
 
10.2%
4 2
 
3.4%

Length

2023-12-13T02:18:43.767730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:43.906669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
33.9%
1 16
27.1%
0 15
25.4%
2 6
 
10.2%
4 2
 
3.4%

최고높이(미터)
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)97.9%
Missing11
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean27.095062
Minimum0
Maximum85.8
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T02:18:44.059192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.2425
Q113.2
median16.55
Q333.175
95-th percentile69.585
Maximum85.8
Range85.8
Interquartile range (IQR)19.975

Descriptive statistics

Standard deviation21.642035
Coefficient of variation (CV)0.79874461
Kurtosis0.22139688
Mean27.095062
Median Absolute Deviation (MAD)7.45
Skewness1.1939736
Sum1300.563
Variance468.37768
MonotonicityNot monotonic
2023-12-13T02:18:44.238627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
14.6 2
 
3.4%
70.8 1
 
1.7%
23.7 1
 
1.7%
16.4 1
 
1.7%
8.7 1
 
1.7%
10.2 1
 
1.7%
12.12 1
 
1.7%
15.0 1
 
1.7%
9.73 1
 
1.7%
70.6 1
 
1.7%
Other values (37) 37
62.7%
(Missing) 11
 
18.6%
ValueCountFrequency (%)
0.0 1
1.7%
5.0 1
1.7%
8.05 1
1.7%
8.6 1
1.7%
8.7 1
1.7%
8.8 1
1.7%
9.73 1
1.7%
10.2 1
1.7%
10.7 1
1.7%
12.1 1
1.7%
ValueCountFrequency (%)
85.8 1
1.7%
70.8 1
1.7%
70.6 1
1.7%
67.7 1
1.7%
65.8 1
1.7%
65.7 1
1.7%
61.4 1
1.7%
52.3 1
1.7%
51.65 1
1.7%
51.5 1
1.7%

주용도
Categorical

Distinct12
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
11 
공장
10 
업무시설
8 
제2종근린생활시설
6 
제1종근린생활시설
6 
Other values (7)
18 

Length

Max length9
Median length4
Mean length4.8983051
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row자동차관련시설
2nd row판매시설
3rd row제2종근린생활시설
4th row제2종근린생활시설
5th row제1종근린생활시설

Common Values

ValueCountFrequency (%)
<NA> 11
18.6%
공장 10
16.9%
업무시설 8
13.6%
제2종근린생활시설 6
10.2%
제1종근린생활시설 6
10.2%
공동주택 6
10.2%
자동차관련시설 3
 
5.1%
판매시설 2
 
3.4%
운동시설 2
 
3.4%
숙박시설 2
 
3.4%
Other values (2) 3
 
5.1%

Length

2023-12-13T02:18:44.390609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 11
18.6%
공장 10
16.9%
업무시설 8
13.6%
제2종근린생활시설 6
10.2%
제1종근린생활시설 6
10.2%
공동주택 6
10.2%
자동차관련시설 3
 
5.1%
판매시설 2
 
3.4%
운동시설 2
 
3.4%
숙박시설 2
 
3.4%
Other values (2) 3
 
5.1%

부속용도
Text

MISSING 

Distinct34
Distinct (%)82.9%
Missing18
Missing (%)30.5%
Memory size604.0 B
2023-12-13T02:18:44.601894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length23
Mean length8.9268293
Min length2

Characters and Unicode

Total characters366
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)70.7%

Sample

1st row검사장,정비공장
2nd row제조업소
3rd row제2종근린생활시설
4th row공장(기타공장,사무실,샤워실,펌프실)
5th row창고시설
ValueCountFrequency (%)
오피스텔 4
 
8.2%
아파트 3
 
6.1%
업무시설(오피스텔 3
 
6.1%
제조업소 2
 
4.1%
골프연습장 2
 
4.1%
마을회관 2
 
4.1%
일반음식점 2
 
4.1%
근린생활시설 2
 
4.1%
생활숙박시설 1
 
2.0%
종합병원,요양병원 1
 
2.0%
Other values (27) 27
55.1%
2023-12-13T02:18:45.016039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 19
 
5.2%
설 19
 
5.2%
, 16
 
4.4%
( 15
 
4.1%
) 15
 
4.1%
장 14
 
3.8%
공 13
 
3.6%
무 11
 
3.0%
텔 11
 
3.0%
업 11
 
3.0%
Other values (82) 222
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
83.9%
Other Punctuation 16
 
4.4%
Open Punctuation 15
 
4.1%
Close Punctuation 15
 
4.1%
Space Separator 9
 
2.5%
Decimal Number 3
 
0.8%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 19
 
6.2%
설 19
 
6.2%
장 14
 
4.6%
공 13
 
4.2%
무 11
 
3.6%
텔 11
 
3.6%
업 11
 
3.6%
오 10
 
3.3%
스 10
 
3.3%
피 10
 
3.3%
Other values (76) 179
58.3%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
83.9%
Common 59
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 19
 
6.2%
설 19
 
6.2%
장 14
 
4.6%
공 13
 
4.2%
무 11
 
3.6%
텔 11
 
3.6%
업 11
 
3.6%
오 10
 
3.3%
스 10
 
3.3%
피 10
 
3.3%
Other values (76) 179
58.3%
Common
ValueCountFrequency (%)
, 16
27.1%
( 15
25.4%
) 15
25.4%
9
15.3%
2 3
 
5.1%
- 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
83.9%
ASCII 59
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 19
 
6.2%
설 19
 
6.2%
장 14
 
4.6%
공 13
 
4.2%
무 11
 
3.6%
텔 11
 
3.6%
업 11
 
3.6%
오 10
 
3.3%
스 10
 
3.3%
피 10
 
3.3%
Other values (76) 179
58.3%
ASCII
ValueCountFrequency (%)
, 16
27.1%
( 15
25.4%
) 15
25.4%
9
15.3%
2 3
 
5.1%
- 1
 
1.7%

용도지역
Categorical

Distinct9
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
제2종일반주거지역
11 
<NA>
11 
준공업지역
10 
가로구역별최고높이제한지역
8 
일반상업지역
6 
Other values (4)
13 

Length

Max length13
Median length6
Mean length7.1864407
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
제2종일반주거지역 11
18.6%
<NA> 11
18.6%
준공업지역 10
16.9%
가로구역별최고높이제한지역 8
13.6%
일반상업지역 6
10.2%
제3종일반주거지역 5
8.5%
일반공업지역 5
8.5%
준주거지역 2
 
3.4%
자연녹지지역 1
 
1.7%

Length

2023-12-13T02:18:45.175579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:45.310358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2종일반주거지역 11
18.6%
na 11
18.6%
준공업지역 10
16.9%
가로구역별최고높이제한지역 8
13.6%
일반상업지역 6
10.2%
제3종일반주거지역 5
8.5%
일반공업지역 5
8.5%
준주거지역 2
 
3.4%
자연녹지지역 1
 
1.7%

용도지구
Categorical

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
32 
방화지구
9 
비행안전제6구역(전술)
8 
재생사업지구
6 
지적재조사사업지구
 
2

Length

Max length12
Median length4
Mean length5.5254237
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지적재조사사업지구
5th row비행안전제6구역(전술)

Common Values

ValueCountFrequency (%)
<NA> 32
54.2%
방화지구 9
 
15.3%
비행안전제6구역(전술) 8
 
13.6%
재생사업지구 6
 
10.2%
지적재조사사업지구 2
 
3.4%
철도보호지구 2
 
3.4%

Length

2023-12-13T02:18:45.499900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:45.629573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
54.2%
방화지구 9
 
15.3%
비행안전제6구역(전술 8
 
13.6%
재생사업지구 6
 
10.2%
지적재조사사업지구 2
 
3.4%
철도보호지구 2
 
3.4%

용도구역
Categorical

Distinct7
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
26 
상대보호구역
13 
지구단위계획구역
9 
가축사육제한구역
8 
제1종지구단위계획구역
 
1
Other values (2)
 
2

Length

Max length11
Median length8
Mean length5.7457627
Min length4

Unique

Unique3 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
44.1%
상대보호구역 13
22.0%
지구단위계획구역 9
 
15.3%
가축사육제한구역 8
 
13.6%
제1종지구단위계획구역 1
 
1.7%
비행안전구역 1
 
1.7%
보호구역 1
 
1.7%

Length

2023-12-13T02:18:45.788413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:45.929428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
44.1%
상대보호구역 13
22.0%
지구단위계획구역 9
 
15.3%
가축사육제한구역 8
 
13.6%
제1종지구단위계획구역 1
 
1.7%
비행안전구역 1
 
1.7%
보호구역 1
 
1.7%

설계사무소명
Text

MISSING 

Distinct46
Distinct (%)95.8%
Missing11
Missing (%)18.6%
Memory size604.0 B
2023-12-13T02:18:46.316138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.729167
Min length8

Characters and Unicode

Total characters515
Distinct characters73
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

Unique44 ?
Unique (%)91.7%

Sample

1st row우리종합건축사사무소
2nd row(주)이프건축사사무소
3rd row서이건축사사무소
4th row건원건축사사무소
5th row건축사사무소 큐제이
ValueCountFrequency (%)
건축사사무소 16
23.2%
주식회사 4
 
5.8%
아키21건축사사무소 2
 
2.9%
신라종합건축사사무소(주 2
 
2.9%
주식회사예신건축사사무소 1
 
1.4%
종합건축사사무소그룹영남 1
 
1.4%
창대 1
 
1.4%
이든건축사사무소 1
 
1.4%
신세계건축사사무소 1
 
1.4%
성호건축사사무소 1
 
1.4%
Other values (39) 39
56.5%
2023-12-13T02:18:46.769432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 101
19.6%
건 49
 
9.5%
축 48
 
9.3%
무 48
 
9.3%
소 48
 
9.3%
21
 
4.1%
주 17
 
3.3%
( 11
 
2.1%
) 11
 
2.1%
이 10
 
1.9%
Other values (63) 151
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
90.1%
Space Separator 21
 
4.1%
Open Punctuation 11
 
2.1%
Close Punctuation 11
 
2.1%
Decimal Number 8
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 101
21.8%
건 49
10.6%
축 48
10.3%
무 48
10.3%
소 48
10.3%
주 17
 
3.7%
이 10
 
2.2%
종 10
 
2.2%
합 10
 
2.2%
지 7
 
1.5%
Other values (58) 116
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 4
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
90.1%
Common 51
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 101
21.8%
건 49
10.6%
축 48
10.3%
무 48
10.3%
소 48
10.3%
주 17
 
3.7%
이 10
 
2.2%
종 10
 
2.2%
합 10
 
2.2%
지 7
 
1.5%
Other values (58) 116
25.0%
Common
ValueCountFrequency (%)
21
41.2%
( 11
21.6%
) 11
21.6%
1 4
 
7.8%
2 4
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
90.1%
ASCII 51
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 101
21.8%
건 49
10.6%
축 48
10.3%
무 48
10.3%
소 48
10.3%
주 17
 
3.7%
이 10
 
2.2%
종 10
 
2.2%
합 10
 
2.2%
지 7
 
1.5%
Other values (58) 116
25.0%
ASCII
ValueCountFrequency (%)
21
41.2%
( 11
21.6%
) 11
21.6%
1 4
 
7.8%
2 4
 
7.8%

감리사무소명
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing11
Missing (%)18.6%
Memory size604.0 B
2023-12-13T02:18:47.088669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.1875
Min length8

Characters and Unicode

Total characters489
Distinct characters81
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

Unique46 ?
Unique (%)95.8%

Sample

1st row토우건축사사무소
2nd row(주)이프건축사사무소
3rd row제이건축사사무소
4th row건원건축사사무소
5th row건축사사무소 큐제이
ValueCountFrequency (%)
건축사사무소 17
25.4%
다솜건축사사무소 2
 
3.0%
주식회사 1
 
1.5%
주)비전21건축사사무소 1
 
1.5%
아키펌 1
 
1.5%
메가건축사사무소 1
 
1.5%
주)디엠종합건축사사무소 1
 
1.5%
주)아이엔지그룹건축사사무소 1
 
1.5%
집터건축사사무소 1
 
1.5%
루가 1
 
1.5%
Other values (40) 40
59.7%
2023-12-13T02:18:47.577696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 97
19.8%
건 49
 
10.0%
축 48
 
9.8%
무 48
 
9.8%
소 48
 
9.8%
19
 
3.9%
주 11
 
2.2%
( 9
 
1.8%
이 9
 
1.8%
) 9
 
1.8%
Other values (71) 142
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 447
91.4%
Space Separator 19
 
3.9%
Open Punctuation 9
 
1.8%
Close Punctuation 9
 
1.8%
Decimal Number 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 97
21.7%
건 49
11.0%
축 48
10.7%
무 48
10.7%
소 48
10.7%
주 11
 
2.5%
이 9
 
2.0%
종 7
 
1.6%
아 7
 
1.6%
합 7
 
1.6%
Other values (65) 116
26.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
91.4%
Common 42
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 97
21.7%
건 49
11.0%
축 48
10.7%
무 48
10.7%
소 48
10.7%
주 11
 
2.5%
이 9
 
2.0%
종 7
 
1.6%
아 7
 
1.6%
합 7
 
1.6%
Other values (65) 116
26.0%
Common
ValueCountFrequency (%)
19
45.2%
( 9
21.4%
) 9
21.4%
1 2
 
4.8%
2 2
 
4.8%
& 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 447
91.4%
ASCII 42
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 97
21.7%
건 49
11.0%
축 48
10.7%
무 48
10.7%
소 48
10.7%
주 11
 
2.5%
이 9
 
2.0%
종 7
 
1.6%
아 7
 
1.6%
합 7
 
1.6%
Other values (65) 116
26.0%
ASCII
ValueCountFrequency (%)
19
45.2%
( 9
21.4%
) 9
21.4%
1 2
 
4.8%
2 2
 
4.8%
& 1
 
2.4%

시공자사무소명
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing13
Missing (%)22.0%
Memory size604.0 B
2023-12-13T02:18:47.879483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.8695652
Min length5

Characters and Unicode

Total characters408
Distinct characters88
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

Unique42 ?
Unique (%)91.3%

Sample

1st row고강종합건설(주)
2nd row(주)서범종합건설
3rd row(주)바른종합건설
4th row(주)마디종합건설
5th row백우종합건설 주식회사
ValueCountFrequency (%)
주식회사 4
 
8.0%
종합건설대성(주 2
 
4.0%
주)고웅종합건설 2
 
4.0%
천우종합토건(주 1
 
2.0%
하나에스엔디(주 1
 
2.0%
주)미가디자인건축 1
 
2.0%
고강종합건설(주 1
 
2.0%
주)순홍 1
 
2.0%
주)세일종합건설 1
 
2.0%
주)디에이치대한 1
 
2.0%
Other values (35) 35
70.0%
2023-12-13T02:18:48.401011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 46
 
11.3%
) 40
 
9.8%
( 40
 
9.8%
건 37
 
9.1%
설 34
 
8.3%
합 29
 
7.1%
종 29
 
7.1%
이 10
 
2.5%
디 6
 
1.5%
사 6
 
1.5%
Other values (78) 131
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
79.4%
Close Punctuation 40
 
9.8%
Open Punctuation 40
 
9.8%
Space Separator 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 46
 
14.2%
건 37
 
11.4%
설 34
 
10.5%
합 29
 
9.0%
종 29
 
9.0%
이 10
 
3.1%
디 6
 
1.9%
사 6
 
1.9%
회 6
 
1.9%
식 6
 
1.9%
Other values (75) 115
35.5%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
79.4%
Common 84
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 46
 
14.2%
건 37
 
11.4%
설 34
 
10.5%
합 29
 
9.0%
종 29
 
9.0%
이 10
 
3.1%
디 6
 
1.9%
사 6
 
1.9%
회 6
 
1.9%
식 6
 
1.9%
Other values (75) 115
35.5%
Common
ValueCountFrequency (%)
) 40
47.6%
( 40
47.6%
4
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
79.4%
ASCII 84
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 46
 
14.2%
건 37
 
11.4%
설 34
 
10.5%
합 29
 
9.0%
종 29
 
9.0%
이 10
 
3.1%
디 6
 
1.9%
사 6
 
1.9%
회 6
 
1.9%
식 6
 
1.9%
Other values (75) 115
35.5%
ASCII
ValueCountFrequency (%)
) 40
47.6%
( 40
47.6%
4
 
4.8%

Sample

건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일최종설계변경일착공처리일착공예정일착공연기일최대지상층수최대지하층수최고높이(미터)주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명
0증축2023-건축과-증축허가-4부산광역시 사상구 학장동 376-3대1096.1621.61998.79760.2756.72191.12일반철골구조2023-02-27<NA>2023-03-162023-03-17<NA>2<NA>12.1자동차관련시설검사장,정비공장준공업지역<NA>지구단위계획구역우리종합건축사사무소토우건축사사무소고강종합건설(주)
1증축2023-건축과-증축허가-3부산광역시 사상구 괘법동 531-2대14880.08920.0731435.33130.059.95126.43경량철골구조2023-02-24<NA>2023-03-312023-04-08<NA>1<NA>5.0판매시설<NA>준주거지역<NA><NA>(주)이프건축사사무소(주)이프건축사사무소(주)서범종합건설
2신축2023-건축과-신축허가-2부산광역시 사상구 삼락동 54-1대374.5200.0400.0<NA>53.4106.8일반철골구조2023-01-19<NA>2023-03-022023-03-01<NA>208.6제2종근린생활시설제조업소제2종일반주거지역<NA><NA>서이건축사사무소제이건축사사무소(주)바른종합건설
3대수선2023-건축과-대수선허가-2부산광역시 사상구 주례동 628-1대335.3184.74827.43<NA>55.1205.23철근콘크리트구조2023-01-10<NA>2023-01-272023-01-30<NA>4116.1제2종근린생활시설제2종근린생활시설제2종일반주거지역지적재조사사업지구가축사육제한구역건원건축사사무소건원건축사사무소(주)마디종합건설
4증축2023-건축과-증축허가-1부산광역시 사상구 괘법동 581-1대412.7242.161468.1334.4258.677293.385철근콘크리트구조2023-01-04<NA>2023-04-042023-04-07<NA>510.0제1종근린생활시설<NA>제3종일반주거지역비행안전제6구역(전술)상대보호구역건축사사무소 큐제이건축사사무소 큐제이백우종합건설 주식회사
5대수선2023-건축과-대수선허가-1부산광역시 사상구 주례동 692-25대2059.21205.063325.78<NA>58.52161.51<NA>2023-01-03<NA>2023-01-302023-01-31<NA>2<NA>8.05공장<NA>준공업지역<NA><NA>건축사사무소 대호건축사사무소 대호<NA>
6증축2022-건축과-증축허가-30부산광역시 사상구 학장동 729-13공장용지730.6460.31427.1269.9263.0195.33일반철골구조2022-12-262023-03-062023-03-102023-03-08<NA>4<NA>15.8공장공장(기타공장,사무실,샤워실,펌프실)일반공업지역재생사업지구지구단위계획구역세영 건축사사무소세영 건축사사무소두산종합건설(주)
7신축2022-건축과-신축허가-53부산광역시 사상구 모라동 703-10대344.5172.07344.14<NA>49.9599.9일반철골구조2022-12-22<NA>2023-02-102023-02-10<NA>208.8제2종근린생활시설창고시설제3종일반주거지역철도보호지구<NA>삼창종합건축사사무소삼창종합건축사사무소종합건설대성(주)
8신축2022-건축과-신축허가-52부산광역시 사상구 학장동 275-51공장용지1818.21257.156277.5<NA>69.14345.26일반철골구조2022-12-14<NA>2023-03-072023-03-07<NA>5026.6공장기타공장준공업지역재생사업지구지구단위계획구역아키21건축사사무소아키21 건축사사무소청우종합건설(주)
9신축2022-건축과-신축허가-50부산광역시 사상구 모라동 703-9대341.5169.05523.74<NA>49.5153.36철근콘크리트구조2022-12-05<NA>2023-01-192023-01-19<NA>4014.6제2종근린생활시설사무소(창고시설)제3종일반주거지역<NA><NA>건축사사무소상상건축사사무소상상케이에이치종합건설(주)
건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일최종설계변경일착공처리일착공예정일착공연기일최대지상층수최대지하층수최고높이(미터)주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명
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54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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Duplicate rows

Most frequently occurring

건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일최종설계변경일착공처리일착공예정일최대지상층수최대지하층수최고높이(미터)주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11