Overview

Dataset statistics

Number of variables41
Number of observations497
Missing cells6504
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory169.5 KiB
Average record size in memory349.3 B

Variable types

Categorical10
Text3
Numeric15
Unsupported3
DateTime10

Dataset

Description분기별 순천시 건축인허가 현황 제공
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3074207/fileData.do

Alerts

착공연기일 has constant value ""Constant
착공연기사유 has constant value ""Constant
임시사용승인기간 has constant value ""Constant
지목 is highly imbalanced (56.4%)Imbalance
비상승강기합 is highly imbalanced (97.9%)Imbalance
용도지구 is highly imbalanced (65.8%)Imbalance
부속건축물수 is highly imbalanced (82.0%)Imbalance
증축연면적(㎡) has 431 (86.7%) missing valuesMissing
취소구분 has 497 (100.0%) missing valuesMissing
철거멸실구분 has 497 (100.0%) missing valuesMissing
허가취소일 has 497 (100.0%) missing valuesMissing
최종설계변경일 has 397 (79.9%) missing valuesMissing
착공처리일 has 133 (26.8%) missing valuesMissing
착공예정일 has 133 (26.8%) missing valuesMissing
실제착공일 has 325 (65.4%) missing valuesMissing
착공연기일 has 495 (99.6%) missing valuesMissing
착공연기사유 has 495 (99.6%) missing valuesMissing
임시사용승인기간 has 496 (99.8%) missing valuesMissing
사용승인일 has 313 (63.0%) missing valuesMissing
승강기합 has 349 (70.2%) missing valuesMissing
부속용도 has 107 (21.5%) missing valuesMissing
총주차대수 has 103 (20.7%) missing valuesMissing
세대수 has 459 (92.4%) missing valuesMissing
호수 has 489 (98.4%) missing valuesMissing
가구수 has 266 (53.5%) missing valuesMissing
주건축물수 has 20 (4.0%) missing valuesMissing
허가번호 has unique valuesUnique
취소구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
철거멸실구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허가취소일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
동수 has 20 (4.0%) zerosZeros
승강기합 has 59 (11.9%) zerosZeros

Reproduction

Analysis started2023-12-12 16:05:32.893350
Analysis finished2023-12-12 16:05:33.491120
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
신축
358 
증축
68 
용도변경
67 
대수선
 
3
개축
 
1

Length

Max length4
Median length2
Mean length2.2756539
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
신축 358
72.0%
증축 68
 
13.7%
용도변경 67
 
13.5%
대수선 3
 
0.6%
개축 1
 
0.2%

Length

2023-12-13T01:05:33.567543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:33.695354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 358
72.0%
증축 68
 
13.7%
용도변경 67
 
13.5%
대수선 3
 
0.6%
개축 1
 
0.2%

허가번호
Text

UNIQUE 

Distinct497
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T01:05:33.906587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.71831
Min length15

Characters and Unicode

Total characters9303
Distinct characters34
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

Unique497 ?
Unique (%)100.0%

Sample

1st row2017-허가민원과-증축허가-21
2nd row2017-허가민원과-용도변경허가-17
3rd row2017-허가민원과-신축허가-99
4th row2017-허가민원과-신축허가-100
5th row2017-허가민원과-신축허가-101
ValueCountFrequency (%)
2017-허가민원과-증축허가-21 1
 
0.2%
2016-허가민원과-용도변경허가-38 1
 
0.2%
2016-허가민원과-신축허가-274 1
 
0.2%
2016-허가민원과-증축허가-37 1
 
0.2%
2016-허가민원과-용도변경허가-37 1
 
0.2%
2016-허가민원과-신축허가-280 1
 
0.2%
2016-허가민원과-신축허가-279 1
 
0.2%
2016-허가민원과-신축허가-278 1
 
0.2%
2016-허가민원과-신축허가-285 1
 
0.2%
2016-허가민원과-신축허가-284 1
 
0.2%
Other values (487) 487
98.0%
2023-12-13T01:05:34.259557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1491
16.0%
가 957
10.3%
허 957
10.3%
2 695
 
7.5%
1 642
 
6.9%
0 576
 
6.2%
과 497
 
5.3%
민 495
 
5.3%
원 495
 
5.3%
6 439
 
4.7%
Other values (24) 2059
22.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4638
49.9%
Decimal Number 3174
34.1%
Dash Punctuation 1491
 
16.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 957
20.6%
허 957
20.6%
과 497
10.7%
민 495
10.7%
원 495
10.7%
축 429
9.2%
신 338
 
7.3%
용 83
 
1.8%
도 66
 
1.4%
경 66
 
1.4%
Other values (13) 255
 
5.5%
Decimal Number
ValueCountFrequency (%)
2 695
21.9%
1 642
20.2%
0 576
18.1%
6 439
13.8%
7 244
 
7.7%
3 197
 
6.2%
4 105
 
3.3%
5 99
 
3.1%
8 89
 
2.8%
9 88
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1491
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4665
50.1%
Hangul 4638
49.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 957
20.6%
허 957
20.6%
과 497
10.7%
민 495
10.7%
원 495
10.7%
축 429
9.2%
신 338
 
7.3%
용 83
 
1.8%
도 66
 
1.4%
경 66
 
1.4%
Other values (13) 255
 
5.5%
Common
ValueCountFrequency (%)
- 1491
32.0%
2 695
14.9%
1 642
13.8%
0 576
 
12.3%
6 439
 
9.4%
7 244
 
5.2%
3 197
 
4.2%
4 105
 
2.3%
5 99
 
2.1%
8 89
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4665
50.1%
Hangul 4638
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1491
32.0%
2 695
14.9%
1 642
13.8%
0 576
 
12.3%
6 439
 
9.4%
7 244
 
5.2%
3 197
 
4.2%
4 105
 
2.3%
5 99
 
2.1%
8 89
 
1.9%
Hangul
ValueCountFrequency (%)
가 957
20.6%
허 957
20.6%
과 497
10.7%
민 495
10.7%
원 495
10.7%
축 429
9.2%
신 338
 
7.3%
용 83
 
1.8%
도 66
 
1.4%
경 66
 
1.4%
Other values (13) 255
 
5.5%

대지위치
Text

Distinct486
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T01:05:34.480666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length20.484909
Min length14

Characters and Unicode

Total characters10181
Distinct characters122
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

Unique476 ?
Unique (%)95.8%

Sample

1st row전라남도 순천시 가곡동 24블록 3로트(가곡지구)
2nd row전라남도 순천시 연향동 1337-4
3rd row전라남도 순천시 대대동 231-1 외3필지
4th row전라남도 순천시 서면 선평리 59
5th row전라남도 순천시 서면 운평리 1162-109 외1필지
ValueCountFrequency (%)
전라남도 497
21.8%
순천시 497
21.8%
외1필지 88
 
3.9%
연향동 62
 
2.7%
조례동 61
 
2.7%
오천동 47
 
2.1%
서면 44
 
1.9%
해룡면 35
 
1.5%
외2필지 34
 
1.5%
석현동 27
 
1.2%
Other values (577) 890
39.0%
2023-12-13T01:05:35.112365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1785
17.5%
천 560
 
5.5%
1 525
 
5.2%
남 508
 
5.0%
전 506
 
5.0%
도 498
 
4.9%
순 497
 
4.9%
시 497
 
4.9%
라 497
 
4.9%
- 388
 
3.8%
Other values (112) 3920
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5804
57.0%
Decimal Number 2202
 
21.6%
Space Separator 1785
 
17.5%
Dash Punctuation 388
 
3.8%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 560
 
9.6%
남 508
 
8.8%
전 506
 
8.7%
도 498
 
8.6%
순 497
 
8.6%
시 497
 
8.6%
라 497
 
8.6%
동 388
 
6.7%
지 196
 
3.4%
외 158
 
2.7%
Other values (98) 1499
25.8%
Decimal Number
ValueCountFrequency (%)
1 525
23.8%
2 226
10.3%
7 208
 
9.4%
3 202
 
9.2%
4 199
 
9.0%
5 192
 
8.7%
8 186
 
8.4%
6 175
 
7.9%
9 167
 
7.6%
0 122
 
5.5%
Space Separator
ValueCountFrequency (%)
1785
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5804
57.0%
Common 4377
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 560
 
9.6%
남 508
 
8.8%
전 506
 
8.7%
도 498
 
8.6%
순 497
 
8.6%
시 497
 
8.6%
라 497
 
8.6%
동 388
 
6.7%
지 196
 
3.4%
외 158
 
2.7%
Other values (98) 1499
25.8%
Common
ValueCountFrequency (%)
1785
40.8%
1 525
 
12.0%
- 388
 
8.9%
2 226
 
5.2%
7 208
 
4.8%
3 202
 
4.6%
4 199
 
4.5%
5 192
 
4.4%
8 186
 
4.2%
6 175
 
4.0%
Other values (4) 291
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5804
57.0%
ASCII 4377
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1785
40.8%
1 525
 
12.0%
- 388
 
8.9%
2 226
 
5.2%
7 208
 
4.8%
3 202
 
4.6%
4 199
 
4.5%
5 192
 
4.4%
8 186
 
4.2%
6 175
 
4.0%
Other values (4) 291
 
6.6%
Hangul
ValueCountFrequency (%)
천 560
 
9.6%
남 508
 
8.8%
전 506
 
8.7%
도 498
 
8.6%
순 497
 
8.6%
시 497
 
8.6%
라 497
 
8.6%
동 388
 
6.7%
지 196
 
3.4%
외 158
 
2.7%
Other values (98) 1499
25.8%

지목
Categorical

IMBALANCE 

Distinct17
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
대
340 
전
52 
답
43 
임야
 
17
잡종지
 
14
Other values (12)
 
31

Length

Max length5
Median length1
Mean length1.2655936
Min length1

Unique

Unique6 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
대 340
68.4%
전 52
 
10.5%
답 43
 
8.7%
임야 17
 
3.4%
잡종지 14
 
2.8%
목장용지 6
 
1.2%
공장용지 6
 
1.2%
학교용지 5
 
1.0%
창고용지 3
 
0.6%
종교용지 3
 
0.6%
Other values (7) 8
 
1.6%

Length

2023-12-13T01:05:35.237612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 340
68.4%
전 52
 
10.5%
답 43
 
8.7%
임야 17
 
3.4%
잡종지 14
 
2.8%
목장용지 6
 
1.2%
공장용지 6
 
1.2%
학교용지 5
 
1.0%
종교용지 3
 
0.6%
창고용지 3
 
0.6%
Other values (7) 8
 
1.6%

대지면적(㎡)
Real number (ℝ)

Distinct447
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7000.5052
Minimum60.2
Maximum562746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:35.365096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.2
5-th percentile169.2
Q1263.6
median406.8
Q31092.1
95-th percentile8755.2
Maximum562746
Range562685.8
Interquartile range (IQR)828.5

Descriptive statistics

Standard deviation47105.331
Coefficient of variation (CV)6.7288473
Kurtosis99.047434
Mean7000.5052
Median Absolute Deviation (MAD)199.8
Skewness9.6650114
Sum3479251.1
Variance2.2189122 × 109
MonotonicityNot monotonic
2023-12-13T01:05:35.500018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230.5 3
 
0.6%
228.0 3
 
0.6%
386.0 3
 
0.6%
166.0 3
 
0.6%
291.0 3
 
0.6%
374113.0 3
 
0.6%
207.0 2
 
0.4%
566.0 2
 
0.4%
272.0 2
 
0.4%
277.7 2
 
0.4%
Other values (437) 471
94.8%
ValueCountFrequency (%)
60.2 1
0.2%
79.0 1
0.2%
80.25 1
0.2%
116.0 1
0.2%
119.0 1
0.2%
122.0 1
0.2%
125.76 1
0.2%
129.0 1
0.2%
130.0 1
0.2%
132.0 1
0.2%
ValueCountFrequency (%)
562746.0 2
0.4%
374113.0 3
0.6%
149185.0 1
 
0.2%
146247.0 1
 
0.2%
124362.0 1
 
0.2%
57905.0 1
 
0.2%
45451.3 1
 
0.2%
42975.0 1
 
0.2%
26680.0 1
 
0.2%
23777.0 1
 
0.2%

건축면적(㎡)
Real number (ℝ)

Distinct469
Distinct (%)94.6%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean846.86876
Minimum36.36
Maximum52262.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:35.625483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.36
5-th percentile84.48
Q1140.9475
median186.62
Q3349.3525
95-th percentile2187.07
Maximum52262.37
Range52226.01
Interquartile range (IQR)208.405

Descriptive statistics

Standard deviation4302.2737
Coefficient of variation (CV)5.080213
Kurtosis118.53817
Mean846.86876
Median Absolute Deviation (MAD)64.185
Skewness10.569328
Sum420046.91
Variance18509559
MonotonicityNot monotonic
2023-12-13T01:05:35.736297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.76 4
 
0.8%
214.52 3
 
0.6%
158.38 2
 
0.4%
187.76 2
 
0.4%
187.5 2
 
0.4%
783.95 2
 
0.4%
172.5 2
 
0.4%
116.12 2
 
0.4%
136.44 2
 
0.4%
270.0 2
 
0.4%
Other values (459) 473
95.2%
ValueCountFrequency (%)
36.36 1
0.2%
44.71 1
0.2%
51.24 1
0.2%
53.88 1
0.2%
55.2 1
0.2%
55.53 1
0.2%
60.69 1
0.2%
63.92 1
0.2%
70.99 1
0.2%
73.44 1
0.2%
ValueCountFrequency (%)
52262.37 2
0.4%
49944.75 1
0.2%
27226.27 1
0.2%
17933.7 1
0.2%
8543.99 1
0.2%
7439.41 1
0.2%
6464.52 1
0.2%
5706.61 1
0.2%
5481.6 1
0.2%
5415.06 1
0.2%

연면적(㎡)
Real number (ℝ)

Distinct473
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2152.6255
Minimum36.36
Maximum187320.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:35.853936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.36
5-th percentile130.192
Q1265.72
median411.88
Q3676
95-th percentile4194.886
Maximum187320.09
Range187283.73
Interquartile range (IQR)410.28

Descriptive statistics

Standard deviation14458.117
Coefficient of variation (CV)6.7165036
Kurtosis150.92111
Mean2152.6255
Median Absolute Deviation (MAD)172.23
Skewness12.151868
Sum1069854.9
Variance2.0903715 × 108
MonotonicityNot monotonic
2023-12-13T01:05:35.976227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118.2 4
 
0.8%
659.8 3
 
0.6%
187320.09 2
 
0.4%
394.53 2
 
0.4%
312.65 2
 
0.4%
428.09 2
 
0.4%
357.47 2
 
0.4%
480.48 2
 
0.4%
1300.3 2
 
0.4%
403.38 2
 
0.4%
Other values (463) 474
95.4%
ValueCountFrequency (%)
36.36 1
0.2%
76.03 1
0.2%
84.6 1
0.2%
88.2 1
0.2%
88.6 1
0.2%
93.0 1
0.2%
105.42 1
0.2%
106.81 1
0.2%
107.18 1
0.2%
111.11 1
0.2%
ValueCountFrequency (%)
187320.09 2
0.4%
177420.285 1
0.2%
28030.49 1
0.2%
26331.34 1
0.2%
24804.55 1
0.2%
24740.3 1
0.2%
18634.54 1
0.2%
17007.47 1
0.2%
8279.98 1
0.2%
7844.0397 1
0.2%

증축연면적(㎡)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)100.0%
Missing431
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean923.67112
Minimum-56.69
Maximum8457.49
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)0.4%
Memory size4.5 KiB
2023-12-13T01:05:36.107817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-56.69
5-th percentile74.12
Q1185.45718
median290.525
Q3652.915
95-th percentile4980.375
Maximum8457.49
Range8514.18
Interquartile range (IQR)467.45782

Descriptive statistics

Standard deviation1615.7335
Coefficient of variation (CV)1.749252
Kurtosis9.34467
Mean923.67112
Median Absolute Deviation (MAD)177.975
Skewness3.0079108
Sum60962.294
Variance2610594.8
MonotonicityNot monotonic
2023-12-13T01:05:36.237374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
622.66 1
 
0.2%
320.0 1
 
0.2%
-9.7 1
 
0.2%
1296.5 1
 
0.2%
2980.97 1
 
0.2%
167.24 1
 
0.2%
103.77 1
 
0.2%
187.14 1
 
0.2%
109.0 1
 
0.2%
397.2 1
 
0.2%
Other values (56) 56
 
11.3%
(Missing) 431
86.7%
ValueCountFrequency (%)
-56.69 1
0.2%
-9.7 1
0.2%
49.12 1
0.2%
68.72 1
0.2%
90.32 1
0.2%
99.36 1
0.2%
103.77 1
0.2%
109.0 1
0.2%
111.35 1
0.2%
129.54 1
0.2%
ValueCountFrequency (%)
8457.49 1
0.2%
6375.0 1
0.2%
5494.45 1
0.2%
5215.24 1
0.2%
4275.78 1
0.2%
2980.97 1
0.2%
2367.29 1
0.2%
1964.8 1
0.2%
1947.0 1
0.2%
1698.82 1
0.2%

건폐율(%)
Real number (ℝ)

Distinct475
Distinct (%)95.8%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean45.451569
Minimum0.96
Maximum89.9621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:36.365901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.96
5-th percentile11.7536
Q128.317925
median54.4261
Q359.6632
95-th percentile69.6675
Maximum89.9621
Range89.0021
Interquartile range (IQR)31.345275

Descriptive statistics

Standard deviation19.755994
Coefficient of variation (CV)0.43466032
Kurtosis-0.82436641
Mean45.451569
Median Absolute Deviation (MAD)9.01285
Skewness-0.42140412
Sum22543.978
Variance390.29928
MonotonicityNot monotonic
2023-12-13T01:05:36.478544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.84 3
 
0.6%
59.37 2
 
0.4%
55.5067 2
 
0.4%
59.6632 2
 
0.4%
59.8 2
 
0.4%
18.6 2
 
0.4%
51.2386 2
 
0.4%
59.82 2
 
0.4%
59.89 2
 
0.4%
28.7402 2
 
0.4%
Other values (465) 475
95.6%
ValueCountFrequency (%)
0.96 1
0.2%
1.1487 1
0.2%
1.5148 1
0.2%
2.3524 1
0.2%
3.6051 1
0.2%
4.25 1
0.2%
4.267 1
0.2%
5.7183 1
0.2%
6.0558 1
0.2%
6.16 1
0.2%
ValueCountFrequency (%)
89.9621 1
0.2%
89.5 1
0.2%
89.49 1
0.2%
87.8875 1
0.2%
86.519 1
0.2%
85.0217 1
0.2%
84.97 1
0.2%
84.8497 1
0.2%
82.02 1
0.2%
81.36 1
0.2%

용적률(%)
Real number (ℝ)

Distinct489
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.71895
Minimum0.89
Maximum794.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:36.594156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.89
5-th percentile13.42858
Q140.98
median96.5028
Q3149.3976
95-th percentile240.48114
Maximum794.07
Range793.18
Interquartile range (IQR)108.4176

Descriptive statistics

Standard deviation87.063482
Coefficient of variation (CV)0.82353716
Kurtosis13.010141
Mean105.71895
Median Absolute Deviation (MAD)52.9872
Skewness2.5472628
Sum52542.317
Variance7580.0499
MonotonicityNot monotonic
2023-12-13T01:05:36.722548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142.7198 2
 
0.4%
42.0641 2
 
0.4%
83.4192 2
 
0.4%
208.0901 2
 
0.4%
178.36 2
 
0.4%
196.9974 2
 
0.4%
149.4503 2
 
0.4%
84.9869 2
 
0.4%
87.45 1
 
0.2%
27.3755 1
 
0.2%
Other values (479) 479
96.4%
ValueCountFrequency (%)
0.89 1
0.2%
1.1663 1
0.2%
1.5148 1
0.2%
2.3524 1
0.2%
4.174 1
0.2%
5.87 1
0.2%
7.158 1
0.2%
7.28 1
0.2%
8.305 1
0.2%
8.9201 1
0.2%
ValueCountFrequency (%)
794.07 1
0.2%
662.7582 1
0.2%
580.1695 1
0.2%
428.8737 1
0.2%
415.0451 1
0.2%
413.6332 1
0.2%
399.88 1
0.2%
369.58 1
0.2%
367.4751 1
0.2%
351.2123 1
0.2%

구조
Categorical

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
철근콘크리트구조
308 
일반철골구조
81 
경량철골구조
43 
<NA>
 
26
일반목구조
 
12
Other values (7)
 
27

Length

Max length13
Median length8
Mean length7.1368209
Min length4

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 308
62.0%
일반철골구조 81
 
16.3%
경량철골구조 43
 
8.7%
<NA> 26
 
5.2%
일반목구조 12
 
2.4%
벽돌구조 9
 
1.8%
철골철근콘크리트구조 7
 
1.4%
강파이프구조 5
 
1.0%
기타조적구조 3
 
0.6%
블록구조 1
 
0.2%
Other values (2) 2
 
0.4%

Length

2023-12-13T01:05:36.847597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 308
62.0%
일반철골구조 81
 
16.3%
경량철골구조 43
 
8.7%
na 26
 
5.2%
일반목구조 12
 
2.4%
벽돌구조 9
 
1.8%
철골철근콘크리트구조 7
 
1.4%
강파이프구조 5
 
1.0%
기타조적구조 3
 
0.6%
블록구조 1
 
0.2%
Other values (2) 2
 
0.4%

취소구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

철거멸실구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

허가취소일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

허가일
Date

Distinct190
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2016-05-23 00:00:00
Maximum2017-04-28 00:00:00
2023-12-13T01:05:36.976986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:37.117499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종설계변경일
Date

MISSING 

Distinct69
Distinct (%)69.0%
Missing397
Missing (%)79.9%
Memory size4.0 KiB
Minimum2016-07-06 00:00:00
Maximum2017-05-19 00:00:00
2023-12-13T01:05:37.252283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:37.361981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

MISSING 

Distinct181
Distinct (%)49.7%
Missing133
Missing (%)26.8%
Memory size4.0 KiB
Minimum2016-05-25 00:00:00
Maximum2017-05-22 00:00:00
2023-12-13T01:05:37.475530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:37.594376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공예정일
Date

MISSING 

Distinct195
Distinct (%)53.6%
Missing133
Missing (%)26.8%
Memory size4.0 KiB
Minimum2016-02-06 00:00:00
Maximum2017-05-24 00:00:00
2023-12-13T01:05:37.728826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:37.855656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제착공일
Date

MISSING 

Distinct107
Distinct (%)62.2%
Missing325
Missing (%)65.4%
Memory size4.0 KiB
Minimum2016-05-26 00:00:00
Maximum2017-04-20 00:00:00
2023-12-13T01:05:37.985097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:38.116930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공연기일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing495
Missing (%)99.6%
Memory size4.0 KiB
Minimum2017-08-15 00:00:00
Maximum2017-08-15 00:00:00
2023-12-13T01:05:38.223629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:38.302670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

착공연기사유
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing495
Missing (%)99.6%
Memory size4.0 KiB
Minimum2017-08-15 00:00:00
Maximum2017-08-15 00:00:00
2023-12-13T01:05:38.381842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:38.464044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

임시사용승인기간
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing496
Missing (%)99.8%
Memory size4.0 KiB
Minimum2017-05-30 00:00:00
Maximum2017-05-30 00:00:00
2023-12-13T01:05:38.545463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:38.629857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

사용승인일
Date

MISSING 

Distinct107
Distinct (%)58.2%
Missing313
Missing (%)63.0%
Memory size4.0 KiB
Minimum2016-06-08 00:00:00
Maximum2017-05-19 00:00:00
2023-12-13T01:05:38.733425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:38.858469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건축허가최초접수일
Date

Distinct195
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2016-01-19 00:00:00
Maximum2017-04-20 00:00:00
2023-12-13T01:05:39.304899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:39.441294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6619718
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:39.555014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5155187
Coefficient of variation (CV)0.56932184
Kurtosis8.540394
Mean2.6619718
Median Absolute Deviation (MAD)1
Skewness2.1519911
Sum1323
Variance2.2967969
MonotonicityNot monotonic
2023-12-13T01:05:39.655311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 162
32.6%
3 127
25.6%
1 99
19.9%
4 80
16.1%
5 11
 
2.2%
6 6
 
1.2%
8 5
 
1.0%
10 3
 
0.6%
9 2
 
0.4%
13 1
 
0.2%
ValueCountFrequency (%)
1 99
19.9%
2 162
32.6%
3 127
25.6%
4 80
16.1%
5 11
 
2.2%
6 6
 
1.2%
7 1
 
0.2%
8 5
 
1.0%
9 2
 
0.4%
10 3
 
0.6%
ValueCountFrequency (%)
13 1
 
0.2%
10 3
 
0.6%
9 2
 
0.4%
8 5
 
1.0%
7 1
 
0.2%
6 6
 
1.2%
5 11
 
2.2%
4 80
16.1%
3 127
25.6%
2 162
32.6%

최대지하층수
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
344 
<NA>
106 
1
44 
4
 
2
2
 
1

Length

Max length4
Median length1
Mean length1.639839
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 344
69.2%
<NA> 106
 
21.3%
1 44
 
8.9%
4 2
 
0.4%
2 1
 
0.2%

Length

2023-12-13T01:05:39.769924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:39.872097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 344
69.2%
na 106
 
21.3%
1 44
 
8.9%
4 2
 
0.4%
2 1
 
0.2%

최고높이(m)
Real number (ℝ)

Distinct247
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.433586
Minimum0
Maximum43.6
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:39.992949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.28
Q18.25
median10.76
Q313.3
95-th percentile19.396
Maximum43.6
Range43.6
Interquartile range (IQR)5.05

Descriptive statistics

Standard deviation5.407327
Coefficient of variation (CV)0.47293362
Kurtosis9.9158844
Mean11.433586
Median Absolute Deviation (MAD)2.54
Skewness2.3994762
Sum5682.492
Variance29.239185
MonotonicityNot monotonic
2023-12-13T01:05:40.128191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.7 16
 
3.2%
13.3 8
 
1.6%
9.0 8
 
1.6%
5.4 7
 
1.4%
8.25 7
 
1.4%
13.0 7
 
1.4%
9.8 7
 
1.4%
10.4 6
 
1.2%
9.5 6
 
1.2%
11.2 6
 
1.2%
Other values (237) 419
84.3%
ValueCountFrequency (%)
0.0 2
0.4%
2.7 1
0.2%
3.2 1
0.2%
3.3 1
0.2%
3.5 2
0.4%
3.9 1
0.2%
4.0 1
0.2%
4.05 1
0.2%
4.1 1
0.2%
4.2 1
0.2%
ValueCountFrequency (%)
43.6 1
0.2%
41.6 1
0.2%
41.43 1
0.2%
39.2 1
0.2%
36.6 1
0.2%
35.5 1
0.2%
34.3 1
0.2%
33.96 1
0.2%
33.0 1
0.2%
29.9 1
0.2%

동수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8309859
Minimum0
Maximum48
Zeros20
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:40.239986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5525168
Coefficient of variation (CV)2.4863745
Kurtosis78.267844
Mean1.8309859
Median Absolute Deviation (MAD)0
Skewness8.5949178
Sum910
Variance20.725409
MonotonicityNot monotonic
2023-12-13T01:05:40.358926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 385
77.5%
2 47
 
9.5%
0 20
 
4.0%
3 15
 
3.0%
4 8
 
1.6%
5 5
 
1.0%
8 3
 
0.6%
6 3
 
0.6%
13 2
 
0.4%
11 2
 
0.4%
Other values (6) 7
 
1.4%
ValueCountFrequency (%)
0 20
 
4.0%
1 385
77.5%
2 47
 
9.5%
3 15
 
3.0%
4 8
 
1.6%
5 5
 
1.0%
6 3
 
0.6%
7 1
 
0.2%
8 3
 
0.6%
9 1
 
0.2%
ValueCountFrequency (%)
48 1
 
0.2%
47 1
 
0.2%
43 2
0.4%
42 1
 
0.2%
13 2
0.4%
11 2
0.4%
9 1
 
0.2%
8 3
0.6%
7 1
 
0.2%
6 3
0.6%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.7%
Missing349
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean0.77702703
Minimum0
Maximum6
Zeros59
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:40.468199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89458648
Coefficient of variation (CV)1.1512939
Kurtosis10.691214
Mean0.77702703
Median Absolute Deviation (MAD)1
Skewness2.4786827
Sum115
Variance0.80028498
MonotonicityNot monotonic
2023-12-13T01:05:40.566290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 73
 
14.7%
0 59
 
11.9%
2 12
 
2.4%
6 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
(Missing) 349
70.2%
ValueCountFrequency (%)
0 59
11.9%
1 73
14.7%
2 12
 
2.4%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
2 12
 
2.4%
1 73
14.7%
0 59
11.9%

비상승강기합
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
496 
1
 
1

Length

Max length4
Median length4
Mean length3.9939638
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 496
99.8%
1 1
 
0.2%

Length

2023-12-13T01:05:40.705787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:40.812448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 496
99.8%
1 1
 
0.2%

주용도
Categorical

Distinct20
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
단독주택
194 
제1종근린생활시설
82 
제2종근린생활시설
79 
숙박시설
26 
창고시설
 
19
Other values (15)
97 

Length

Max length10
Median length4
Mean length5.8289738
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 194
39.0%
제1종근린생활시설 82
16.5%
제2종근린생활시설 79
15.9%
숙박시설 26
 
5.2%
창고시설 19
 
3.8%
공동주택 11
 
2.2%
공장 11
 
2.2%
동.식물관련시설 11
 
2.2%
노유자시설 11
 
2.2%
교육연구시설 9
 
1.8%
Other values (10) 44
 
8.9%

Length

2023-12-13T01:05:40.937315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 194
39.0%
제1종근린생활시설 82
16.5%
제2종근린생활시설 79
15.9%
숙박시설 26
 
5.2%
창고시설 19
 
3.8%
공동주택 11
 
2.2%
공장 11
 
2.2%
동.식물관련시설 11
 
2.2%
노유자시설 11
 
2.2%
교육연구시설 9
 
1.8%
Other values (10) 44
 
8.9%

부속용도
Text

MISSING 

Distinct201
Distinct (%)51.5%
Missing107
Missing (%)21.5%
Memory size4.0 KiB
2023-12-13T01:05:41.195224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length8.1717949
Min length2

Characters and Unicode

Total characters3187
Distinct characters140
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

Unique153 ?
Unique (%)39.2%

Sample

1st row사무소,창고,단독주택
2nd row관광호스텔
3rd row및 제2종근린생활시설 및 창고시설
4th row제조업소,창고
5th row제1,2종근린생활시설 및 단독주택
ValueCountFrequency (%)
다가구주택 58
 
11.8%
단독주택 36
 
7.3%
소매점 34
 
6.9%
및 23
 
4.7%
사무소 21
 
4.3%
제2종근린생활시설 20
 
4.1%
제1종근린생활시설 15
 
3.1%
일반음식점 14
 
2.9%
제1,2종근린생활시설 12
 
2.4%
제조업소 10
 
2.0%
Other values (159) 247
50.4%
2023-12-13T01:05:41.649997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 176
 
5.5%
택 169
 
5.3%
, 155
 
4.9%
시 144
 
4.5%
소 138
 
4.3%
점 129
 
4.0%
설 128
 
4.0%
생 103
 
3.2%
103
 
3.2%
다 101
 
3.2%
Other values (130) 1841
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2718
85.3%
Other Punctuation 168
 
5.3%
Space Separator 103
 
3.2%
Decimal Number 86
 
2.7%
Close Punctuation 56
 
1.8%
Open Punctuation 56
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 176
 
6.5%
택 169
 
6.2%
시 144
 
5.3%
소 138
 
5.1%
점 129
 
4.7%
설 128
 
4.7%
생 103
 
3.8%
다 101
 
3.7%
활 96
 
3.5%
가 94
 
3.5%
Other values (120) 1440
53.0%
Other Punctuation
ValueCountFrequency (%)
, 155
92.3%
. 6
 
3.6%
& 4
 
2.4%
/ 3
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 46
53.5%
1 39
45.3%
3 1
 
1.2%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2718
85.3%
Common 469
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 176
 
6.5%
택 169
 
6.2%
시 144
 
5.3%
소 138
 
5.1%
점 129
 
4.7%
설 128
 
4.7%
생 103
 
3.8%
다 101
 
3.7%
활 96
 
3.5%
가 94
 
3.5%
Other values (120) 1440
53.0%
Common
ValueCountFrequency (%)
, 155
33.0%
103
22.0%
) 56
 
11.9%
( 56
 
11.9%
2 46
 
9.8%
1 39
 
8.3%
. 6
 
1.3%
& 4
 
0.9%
/ 3
 
0.6%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2718
85.3%
ASCII 469
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 176
 
6.5%
택 169
 
6.2%
시 144
 
5.3%
소 138
 
5.1%
점 129
 
4.7%
설 128
 
4.7%
생 103
 
3.8%
다 101
 
3.7%
활 96
 
3.5%
가 94
 
3.5%
Other values (120) 1440
53.0%
ASCII
ValueCountFrequency (%)
, 155
33.0%
103
22.0%
) 56
 
11.9%
( 56
 
11.9%
2 46
 
9.8%
1 39
 
8.3%
. 6
 
1.3%
& 4
 
0.9%
/ 3
 
0.6%
3 1
 
0.2%

용도지역
Categorical

Distinct15
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
제2종일반주거지역
139 
제1종일반주거지역
113 
자연녹지지역
77 
일반상업지역
66 
계획관리지역
26 
Other values (10)
76 

Length

Max length9
Median length9
Mean length7.5231388
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제2종일반주거지역 139
28.0%
제1종일반주거지역 113
22.7%
자연녹지지역 77
15.5%
일반상업지역 66
13.3%
계획관리지역 26
 
5.2%
준주거지역 21
 
4.2%
가축사육제한구역 14
 
2.8%
<NA> 14
 
2.8%
제1종전용주거지역 8
 
1.6%
생산녹지지역 6
 
1.2%
Other values (5) 13
 
2.6%

Length

2023-12-13T01:05:41.875991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종일반주거지역 139
28.0%
제1종일반주거지역 113
22.7%
자연녹지지역 77
15.5%
일반상업지역 66
13.3%
계획관리지역 26
 
5.2%
준주거지역 21
 
4.2%
가축사육제한구역 14
 
2.8%
na 14
 
2.8%
제1종전용주거지역 8
 
1.6%
생산녹지지역 6
 
1.2%
Other values (5) 13
 
2.6%

용도지구
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
397 
방화지구
52 
자연취락지구
 
16
최고고도지구
 
9
시가지경관지구
 
7
Other values (6)
 
16

Length

Max length8
Median length4
Mean length4.2313883
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 397
79.9%
방화지구 52
 
10.5%
자연취락지구 16
 
3.2%
최고고도지구 9
 
1.8%
시가지경관지구 7
 
1.4%
중심지미관지구 5
 
1.0%
수변경관지구 5
 
1.0%
공원집단시설지구 2
 
0.4%
일반미관지구 2
 
0.4%
학교시설보호지구 1
 
0.2%

Length

2023-12-13T01:05:42.040797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 397
79.9%
방화지구 52
 
10.5%
자연취락지구 16
 
3.2%
최고고도지구 9
 
1.8%
시가지경관지구 7
 
1.4%
중심지미관지구 5
 
1.0%
수변경관지구 5
 
1.0%
공원집단시설지구 2
 
0.4%
일반미관지구 2
 
0.4%
학교시설보호지구 1
 
0.2%

용도구역
Categorical

Distinct13
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
190 
제1종지구단위계획구역
149 
가축사육제한구역
101 
상대정화구역
34 
지구단위계획구역
 
8
Other values (8)
 
15

Length

Max length11
Median length9
Mean length7.1871227
Min length4

Unique

Unique4 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 190
38.2%
제1종지구단위계획구역 149
30.0%
가축사육제한구역 101
20.3%
상대정화구역 34
 
6.8%
지구단위계획구역 8
 
1.6%
장애물제한표면구역 4
 
0.8%
접도구역 3
 
0.6%
영산강수변구역 2
 
0.4%
정비구역 2
 
0.4%
지역특화발전특구 1
 
0.2%
Other values (3) 3
 
0.6%

Length

2023-12-13T01:05:42.230912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 190
38.2%
제1종지구단위계획구역 149
30.0%
가축사육제한구역 101
20.3%
상대정화구역 34
 
6.8%
지구단위계획구역 8
 
1.6%
장애물제한표면구역 4
 
0.8%
접도구역 3
 
0.6%
영산강수변구역 2
 
0.4%
정비구역 2
 
0.4%
지역특화발전특구 1
 
0.2%
Other values (3) 3
 
0.6%

총주차대수
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)10.7%
Missing103
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean8.9898477
Minimum0
Maximum286
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:42.406308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q38
95-th percentile27
Maximum286
Range286
Interquartile range (IQR)6

Descriptive statistics

Standard deviation22.930804
Coefficient of variation (CV)2.5507444
Kurtosis94.011625
Mean8.9898477
Median Absolute Deviation (MAD)2
Skewness8.907846
Sum3542
Variance525.82178
MonotonicityNot monotonic
2023-12-13T01:05:42.567813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2 86
17.3%
4 56
11.3%
1 52
10.5%
3 28
 
5.6%
8 28
 
5.6%
5 26
 
5.2%
6 24
 
4.8%
11 11
 
2.2%
15 8
 
1.6%
9 8
 
1.6%
Other values (32) 67
13.5%
(Missing) 103
20.7%
ValueCountFrequency (%)
0 1
 
0.2%
1 52
10.5%
2 86
17.3%
3 28
 
5.6%
4 56
11.3%
5 26
 
5.2%
6 24
 
4.8%
7 5
 
1.0%
8 28
 
5.6%
9 8
 
1.6%
ValueCountFrequency (%)
286 1
0.2%
259 1
0.2%
146 1
0.2%
124 1
0.2%
81 1
0.2%
76 1
0.2%
58 1
0.2%
46 1
0.2%
43 1
0.2%
41 1
0.2%

세대수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)18.4%
Missing459
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean5.5789474
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:42.730980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q312
95-th percentile16
Maximum32
Range31
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.416678
Coefficient of variation (CV)1.3294045
Kurtosis2.749557
Mean5.5789474
Median Absolute Deviation (MAD)0
Skewness1.6532164
Sum212
Variance55.007112
MonotonicityNot monotonic
2023-12-13T01:05:42.861899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 24
 
4.8%
16 5
 
1.0%
12 4
 
0.8%
2 2
 
0.4%
9 1
 
0.2%
15 1
 
0.2%
32 1
 
0.2%
(Missing) 459
92.4%
ValueCountFrequency (%)
1 24
4.8%
2 2
 
0.4%
9 1
 
0.2%
12 4
 
0.8%
15 1
 
0.2%
16 5
 
1.0%
32 1
 
0.2%
ValueCountFrequency (%)
32 1
 
0.2%
16 5
 
1.0%
15 1
 
0.2%
12 4
 
0.8%
9 1
 
0.2%
2 2
 
0.4%
1 24
4.8%

호수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing489
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20.625
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:42.994728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q113
median14
Q329.75
95-th percentile43.05
Maximum49
Range48
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation15.089613
Coefficient of variation (CV)0.73161761
Kurtosis0.58127819
Mean20.625
Median Absolute Deviation (MAD)7
Skewness0.88027161
Sum165
Variance227.69643
MonotonicityNot monotonic
2023-12-13T01:05:43.145034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 2
 
0.4%
14 2
 
0.4%
49 1
 
0.2%
1 1
 
0.2%
32 1
 
0.2%
29 1
 
0.2%
(Missing) 489
98.4%
ValueCountFrequency (%)
1 1
0.2%
13 2
0.4%
14 2
0.4%
29 1
0.2%
32 1
0.2%
49 1
0.2%
ValueCountFrequency (%)
49 1
0.2%
32 1
0.2%
29 1
0.2%
14 2
0.4%
13 2
0.4%
1 1
0.2%

가구수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)7.8%
Missing266
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean4.2164502
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:43.301752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile14
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.21755
Coefficient of variation (CV)1.0002608
Kurtosis0.88401727
Mean4.2164502
Median Absolute Deviation (MAD)2
Skewness1.3585833
Sum974
Variance17.787728
MonotonicityNot monotonic
2023-12-13T01:05:43.463107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 98
 
19.7%
3 29
 
5.8%
8 16
 
3.2%
2 16
 
3.2%
4 14
 
2.8%
5 13
 
2.6%
11 9
 
1.8%
9 6
 
1.2%
6 5
 
1.0%
14 5
 
1.0%
Other values (8) 20
 
4.0%
(Missing) 266
53.5%
ValueCountFrequency (%)
1 98
19.7%
2 16
 
3.2%
3 29
 
5.8%
4 14
 
2.8%
5 13
 
2.6%
6 5
 
1.0%
7 3
 
0.6%
8 16
 
3.2%
9 6
 
1.2%
10 3
 
0.6%
ValueCountFrequency (%)
18 1
 
0.2%
17 1
 
0.2%
16 3
 
0.6%
15 3
 
0.6%
14 5
1.0%
13 4
0.8%
12 2
 
0.4%
11 9
1.8%
10 3
 
0.6%
9 6
1.2%

주건축물수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)3.4%
Missing20
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1.8050314
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:05:43.619327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum47
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4246416
Coefficient of variation (CV)2.4512823
Kurtosis78.451464
Mean1.8050314
Median Absolute Deviation (MAD)0
Skewness8.6438675
Sum861
Variance19.577454
MonotonicityNot monotonic
2023-12-13T01:05:43.797386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 404
81.3%
2 33
 
6.6%
3 13
 
2.6%
4 7
 
1.4%
5 4
 
0.8%
6 4
 
0.8%
11 2
 
0.4%
7 2
 
0.4%
47 1
 
0.2%
9 1
 
0.2%
Other values (6) 6
 
1.2%
(Missing) 20
 
4.0%
ValueCountFrequency (%)
1 404
81.3%
2 33
 
6.6%
3 13
 
2.6%
4 7
 
1.4%
5 4
 
0.8%
6 4
 
0.8%
7 2
 
0.4%
8 1
 
0.2%
9 1
 
0.2%
11 2
 
0.4%
ValueCountFrequency (%)
47 1
0.2%
46 1
0.2%
42 1
0.2%
40 1
0.2%
39 1
0.2%
13 1
0.2%
11 2
0.4%
9 1
0.2%
8 1
0.2%
7 2
0.4%

부속건축물수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
465 
1
 
24
2
 
5
3
 
2
9
 
1

Length

Max length4
Median length4
Mean length3.806841
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 465
93.6%
1 24
 
4.8%
2 5
 
1.0%
3 2
 
0.4%
9 1
 
0.2%

Length

2023-12-13T01:05:43.956957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:44.074283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 465
93.6%
1 24
 
4.8%
2 5
 
1.0%
3 2
 
0.4%
9 1
 
0.2%

Sample

건축구분허가번호대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분허가취소일허가일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축허가최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수주건축물수부속건축물수
0증축2017-허가민원과-증축허가-21전라남도 순천시 가곡동 24블록 3로트(가곡지구)대256.7151.85249.49217.9959.154797.1913일반철골구조<NA><NA><NA>2017-04-28<NA>2017-05-122017-05-11<NA><NA><NA><NA><NA>2017-04-202<NA>7.651<NA><NA>창고시설사무소,창고,단독주택제2종일반주거지역<NA><NA>1<NA><NA>11<NA>
1용도변경2017-허가민원과-용도변경허가-17전라남도 순천시 연향동 1337-4대330.4199.92823.16<NA>60.51192.26철근콘크리트구조<NA><NA><NA>2017-04-27<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-124115.61<NA><NA>제2종근린생활시설<NA>일반상업지역방화지구<NA>4<NA><NA><NA>1<NA>
2신축2017-허가민원과-신축허가-99전라남도 순천시 대대동 231-1 외3필지전3476.0685.191756.8<NA>19.71239.4241철근콘크리트구조<NA><NA><NA>2017-04-26<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-12219.021<NA>숙박시설관광호스텔가축사육제한구역<NA>지구단위계획구역14<NA><NA><NA>2<NA>
3신축2017-허가민원과-신축허가-100전라남도 순천시 서면 선평리 59답1130.0624.4624.4<NA>55.256655.2566일반철골구조<NA><NA><NA>2017-04-26<NA>2017-05-022017-05-03<NA><NA><NA><NA><NA>2017-03-31105.152<NA><NA>제1종근린생활시설및 제2종근린생활시설 및 창고시설제2종일반주거지역<NA>가축사육제한구역2<NA><NA><NA>2<NA>
4신축2017-허가민원과-신축허가-101전라남도 순천시 서면 운평리 1162-109 외1필지전1535.0296.2296.2<NA>19.319.3일반철골구조<NA><NA><NA>2017-04-26<NA><NA><NA><NA><NA><NA><NA><NA>2017-03-27105.43<NA><NA>제2종근린생활시설제조업소,창고자연녹지지역<NA>가축사육제한구역1<NA><NA><NA>3<NA>
5증축2017-허가민원과-증축허가-20전라남도 순천시 황전면 금평리 301-2대6850.0422.21660.26238.986.169.64철근콘크리트구조<NA><NA><NA>2017-04-212017-05-182017-04-282017-04-28<NA><NA><NA><NA><NA>2017-04-062<NA>9.432<NA><NA>제2종근린생활시설제1,2종근린생활시설 및 단독주택계획관리지역<NA><NA><NA><NA><NA>12<NA>
6증축2017-허가민원과-증축허가-19전라남도 순천시 남정동 556-7대519.5247.48607.28173.2847.64116.9일반철골구조<NA><NA><NA>2017-04-20<NA>2017-04-212017-04-22<NA><NA><NA><NA><NA>2017-04-132<NA>5.420<NA>제2종근린생활시설단독주택제2종일반주거지역<NA><NA>3<NA><NA>111
7신축2017-허가민원과-신축허가-98전라남도 순천시 가곡동 가곡지구 토지구획정리사업지구 19 4대278.1164.16164.16<NA>59.029159.0291경량철골구조<NA><NA><NA>2017-04-20<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-17106.951<NA><NA>창고시설<NA>제2종일반주거지역<NA>상대정화구역<NA><NA><NA><NA>1<NA>
8용도변경2017-허가민원과-용도변경허가-15전라남도 순천시 해룡면 상내리 431-7대3029.0480.03805.87<NA>15.847826.6052철근콘크리트구조<NA><NA><NA>2017-04-19<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-042<NA>7.93<NA><NA>단독주택(다가구주택) 및 제1종근린생활시설생산녹지지역<NA>가축사육제한구역12<NA><NA>103<NA>
9용도변경2017-허가민원과-용도변경허가-16전라남도 순천시 남정동 486-5대144.475.28139.35<NA>52.13396.5028벽돌구조<NA><NA><NA>2017-04-19<NA>2017-04-202017-04-202017-04-20<NA><NA><NA>2017-04-272017-04-132<NA>6.810<NA>제2종근린생활시설일반음식점제2종일반주거지역<NA>가축사육제한구역<NA><NA><NA>11<NA>
건축구분허가번호대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분허가취소일허가일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축허가최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수주건축물수부속건축물수
487신축2016-허가민원과-신축허가-170전라남도 순천시 가곡동 420-5대515.0192.61192.61<NA>37.437.4경량철골구조<NA><NA><NA>2016-05-26<NA>2016-06-012016-06-052016-06-05<NA><NA><NA>2016-08-112016-05-18105.21<NA><NA>제2종근린생활시설<NA>일반상업지역중심지미관지구상대정화구역<NA><NA><NA><NA>1<NA>
488용도변경2016-허가민원과-용도변경허가-22전라남도 순천시 해룡면 상내리 790-4대3237.0475.822476.09<NA>14.765.26철근콘크리트구조<NA><NA><NA>2016-05-25<NA><NA><NA><NA><NA><NA><NA>2016-09-052016-05-245122.210<NA>숙박시설및 근생자연녹지지역생태계보존지구<NA>20<NA><NA><NA>1<NA>
489신축2016-허가민원과-신축허가-165전라남도 순천시 연향동 1679-4대238.0142.02468.8538<NA>59.6723196.9974철근콘크리트구조<NA><NA><NA>2016-05-25<NA>2016-05-262016-05-262016-05-26<NA><NA><NA>2016-10-242016-05-184015.281<NA><NA>단독주택다가구주택,소매점,사무소제2종일반주거지역<NA><NA>8<NA><NA>81<NA>
490신축2016-허가민원과-신축허가-166전라남도 순천시 연향동 1679-3대238.0142.02468.8538<NA>59.6723196.9974철근콘크리트구조<NA><NA><NA>2016-05-25<NA>2016-05-262016-05-262016-05-26<NA><NA><NA>2016-10-242016-05-184015.281<NA><NA>단독주택다가구주택,소매점,사무소제2종일반주거지역<NA><NA>8<NA><NA>81<NA>
491신축2016-허가민원과-신축허가-167전라남도 순천시 왕지동 868-8대318.7190.86414.65<NA>59.89130.11철근콘크리트구조<NA><NA><NA>2016-05-25<NA>2016-06-162016-06-172016-06-17<NA><NA><NA>2017-03-162016-05-173013.951<NA><NA>제1종근린생활시설단독주택제1종일반주거지역<NA>제1종지구단위계획구역2<NA><NA>11<NA>
492신축2016-허가민원과-신축허가-168전라남도 순천시 해룡면 신대리 416-1 외1필지임야4775.0728.1728.1<NA>15.248215.2482일반철골구조<NA><NA><NA>2016-05-25<NA><NA><NA><NA><NA><NA><NA><NA>2016-05-03108.91<NA><NA>창고시설<NA>자연녹지지역<NA>장애물제한표면구역2<NA><NA><NA>1<NA>
493신축2016-허가민원과-협의건축물-6전라남도 순천시 황전면 월산리 80답2215.0765.92844.2<NA>34.578838.1129일반철골구조<NA><NA><NA>2016-05-242017-01-022016-07-142016-07-162016-07-16<NA><NA><NA>2017-01-202016-05-10209.01<NA><NA>공장<NA>생산관리지역<NA>가축사육제한구역<NA><NA><NA><NA>1<NA>
494증축2016-허가민원과-증축허가-25전라남도 순천시 서면 선평리 42-2 외2필지공장용지7629.03232.844524.34924.242.3859.3철근콘크리트구조<NA><NA><NA>2016-05-242016-11-17<NA><NA><NA><NA><NA><NA><NA>2016-05-162<NA>10.3540<NA>공장<NA>일반공업지역<NA><NA>37<NA><NA><NA>4<NA>
495신축2016-허가민원과-신축허가-162전라남도 순천시 연향동 1584-14대244.3146.01383.97<NA>59.7667157.1715철근콘크리트구조<NA><NA><NA>2016-05-23<NA>2016-05-252016-05-26<NA><NA><NA><NA><NA>2016-05-113012.471<NA><NA>단독주택<NA>제2종일반주거지역<NA>상대정화구역8<NA><NA>81<NA>
496신축2016-허가민원과-신축허가-163전라남도 순천시 조례동 1104-1전419.0242.975617.16<NA>57.9893147.2936철근콘크리트구조<NA><NA><NA>2016-05-23<NA>2016-05-252016-05-262016-05-26<NA><NA><NA>2016-12-012016-04-264014.21<NA><NA>단독주택(다가구주택)제2종일반주거지역<NA>상대정화구역15<NA><NA>151<NA>