Overview

Dataset statistics

Number of variables13
Number of observations160
Missing cells150
Missing cells (%)7.2%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory16.8 KiB
Average record size in memory107.8 B

Variable types

Categorical3
Text3
Numeric3
DateTime4

Dataset

Description경상남도 사천시 관내 건축허가 현황자료(2015년 , 2023년)입니다. (건축구분, 대지위치 , 대지면적, 건축면적, 연면적 등)
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15053245

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.6%) duplicate rowsDuplicates
대지면적(제곱미터) is highly overall correlated with 건축면적(제곱미터) and 1 other fieldsHigh correlation
건축면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
착공처리일 has 61 (38.1%) missing valuesMissing
사용승인일 has 89 (55.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:03:57.955499
Analysis finished2023-12-10 23:03:59.965317
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
신축
103 
증축
40 
용도변경
15 
가설건축물축조허가
 
2

Length

Max length9
Median length2
Mean length2.275
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 103
64.4%
증축 40
 
25.0%
용도변경 15
 
9.4%
가설건축물축조허가 2
 
1.2%

Length

2023-12-11T08:04:00.054249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:00.168559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 103
64.4%
증축 40
 
25.0%
용도변경 15
 
9.4%
가설건축물축조허가 2
 
1.2%

대지위치
Text

Distinct150
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:04:00.623832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length21.675
Min length15

Characters and Unicode

Total characters3468
Distinct characters95
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

Unique140 ?
Unique (%)87.5%

Sample

1st row경상남도 사천시 용현면 신촌리 588-1
2nd row경상남도 사천시 노룡동 975 외12필지
3rd row경상남도 사천시 용강동 853-6
4th row경상남도 사천시 곤양면 대진리 269 외2필지
5th row경상남도 사천시 정동면 감곡리 497
ValueCountFrequency (%)
경상남도 160
20.2%
사천시 160
20.2%
사천읍 26
 
3.3%
외1필지 21
 
2.7%
사남면 18
 
2.3%
서포면 15
 
1.9%
외2필지 15
 
1.9%
용현면 12
 
1.5%
용강동 12
 
1.5%
곤양면 10
 
1.3%
Other values (212) 342
43.2%
2023-12-11T08:04:01.140058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
631
18.2%
사 211
 
6.1%
천 192
 
5.5%
남 180
 
5.2%
도 163
 
4.7%
경 160
 
4.6%
상 160
 
4.6%
시 160
 
4.6%
1 133
 
3.8%
- 116
 
3.3%
Other values (85) 1362
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2043
58.9%
Decimal Number 678
 
19.6%
Space Separator 631
 
18.2%
Dash Punctuation 116
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 211
 
10.3%
천 192
 
9.4%
남 180
 
8.8%
도 163
 
8.0%
경 160
 
7.8%
상 160
 
7.8%
시 160
 
7.8%
리 104
 
5.1%
동 86
 
4.2%
면 69
 
3.4%
Other values (73) 558
27.3%
Decimal Number
ValueCountFrequency (%)
1 133
19.6%
2 109
16.1%
3 69
10.2%
4 67
9.9%
8 65
9.6%
6 63
9.3%
0 47
 
6.9%
5 45
 
6.6%
7 42
 
6.2%
9 38
 
5.6%
Space Separator
ValueCountFrequency (%)
631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2043
58.9%
Common 1425
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 211
 
10.3%
천 192
 
9.4%
남 180
 
8.8%
도 163
 
8.0%
경 160
 
7.8%
상 160
 
7.8%
시 160
 
7.8%
리 104
 
5.1%
동 86
 
4.2%
면 69
 
3.4%
Other values (73) 558
27.3%
Common
ValueCountFrequency (%)
631
44.3%
1 133
 
9.3%
- 116
 
8.1%
2 109
 
7.6%
3 69
 
4.8%
4 67
 
4.7%
8 65
 
4.6%
6 63
 
4.4%
0 47
 
3.3%
5 45
 
3.2%
Other values (2) 80
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2043
58.9%
ASCII 1425
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
631
44.3%
1 133
 
9.3%
- 116
 
8.1%
2 109
 
7.6%
3 69
 
4.8%
4 67
 
4.7%
8 65
 
4.6%
6 63
 
4.4%
0 47
 
3.3%
5 45
 
3.2%
Other values (2) 80
 
5.6%
Hangul
ValueCountFrequency (%)
사 211
 
10.3%
천 192
 
9.4%
남 180
 
8.8%
도 163
 
8.0%
경 160
 
7.8%
상 160
 
7.8%
시 160
 
7.8%
리 104
 
5.1%
동 86
 
4.2%
면 69
 
3.4%
Other values (73) 558
27.3%

대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct147
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8506.3625
Minimum116
Maximum171649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T08:04:01.287689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum116
5-th percentile183.8
Q1415.25
median1134
Q33555.5
95-th percentile28813.4
Maximum171649
Range171533
Interquartile range (IQR)3140.25

Descriptive statistics

Standard deviation26545.938
Coefficient of variation (CV)3.1207156
Kurtosis23.05458
Mean8506.3625
Median Absolute Deviation (MAD)833.5
Skewness4.7335664
Sum1361018
Variance7.0468682 × 108
MonotonicityNot monotonic
2023-12-11T08:04:01.778075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16588 2
 
1.2%
168 2
 
1.2%
171649 2
 
1.2%
1603 2
 
1.2%
467 2
 
1.2%
1064 2
 
1.2%
642 2
 
1.2%
369 2
 
1.2%
2477 2
 
1.2%
1580 2
 
1.2%
Other values (137) 140
87.5%
ValueCountFrequency (%)
116 1
0.6%
130 1
0.6%
136 1
0.6%
140 1
0.6%
165 1
0.6%
168 2
1.2%
180 1
0.6%
184 1
0.6%
193 1
0.6%
198 1
0.6%
ValueCountFrequency (%)
171649 2
1.2%
134179 1
0.6%
119975 1
0.6%
106048 1
0.6%
88331 1
0.6%
84054 1
0.6%
32564 1
0.6%
28616 1
0.6%
26365 1
0.6%
20032 1
0.6%

건축면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct142
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2703.3375
Minimum20
Maximum70764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T08:04:01.985265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile94
Q1179
median294
Q3763.25
95-th percentile10323.05
Maximum70764
Range70744
Interquartile range (IQR)584.25

Descriptive statistics

Standard deviation9769.7352
Coefficient of variation (CV)3.6139532
Kurtosis33.596086
Mean2703.3375
Median Absolute Deviation (MAD)176.5
Skewness5.6351769
Sum432534
Variance95447726
MonotonicityNot monotonic
2023-12-11T08:04:02.179202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 3
 
1.9%
199 3
 
1.9%
185 2
 
1.2%
193 2
 
1.2%
99 2
 
1.2%
130 2
 
1.2%
182 2
 
1.2%
94 2
 
1.2%
606 2
 
1.2%
202 2
 
1.2%
Other values (132) 138
86.2%
ValueCountFrequency (%)
20 1
0.6%
36 1
0.6%
41 1
0.6%
77 1
0.6%
78 1
0.6%
80 1
0.6%
93 1
0.6%
94 2
1.2%
95 1
0.6%
98 1
0.6%
ValueCountFrequency (%)
70764 1
0.6%
70668 1
0.6%
50768 1
0.6%
41615 1
0.6%
31160 1
0.6%
14486 1
0.6%
12351 1
0.6%
10628 1
0.6%
10307 1
0.6%
9730 1
0.6%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct142
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3195.45
Minimum20
Maximum69793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T08:04:02.364241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile129.4
Q1213
median489.5
Q31201
95-th percentile14087.2
Maximum69793
Range69773
Interquartile range (IQR)988

Descriptive statistics

Standard deviation10165.277
Coefficient of variation (CV)3.1811722
Kurtosis28.005977
Mean3195.45
Median Absolute Deviation (MAD)295
Skewness5.1283016
Sum511272
Variance1.0333285 × 108
MonotonicityNot monotonic
2023-12-11T08:04:02.555984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197 4
 
2.5%
998 3
 
1.9%
199 3
 
1.9%
200 2
 
1.2%
143 2
 
1.2%
620 2
 
1.2%
597 2
 
1.2%
728 2
 
1.2%
627 2
 
1.2%
624 2
 
1.2%
Other values (132) 136
85.0%
ValueCountFrequency (%)
20 1
0.6%
41 1
0.6%
80 1
0.6%
98 1
0.6%
107 1
0.6%
112 1
0.6%
116 1
0.6%
118 1
0.6%
130 1
0.6%
134 1
0.6%
ValueCountFrequency (%)
69793 1
0.6%
69697 1
0.6%
55551 1
0.6%
43980 1
0.6%
35346 1
0.6%
21116 1
0.6%
16987 1
0.6%
14908 1
0.6%
14044 1
0.6%
12494 1
0.6%

구조
Categorical

Distinct10
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
철근콘크리트구조
60 
일반철골구조
41 
경량철골구조
28 
강파이프구조
10 
<NA>
9 
Other values (5)
12 

Length

Max length8
Median length6
Mean length6.575
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 60
37.5%
일반철골구조 41
25.6%
경량철골구조 28
17.5%
강파이프구조 10
 
6.2%
<NA> 9
 
5.6%
일반목구조 6
 
3.8%
벽돌구조 2
 
1.2%
콘크리트구조 2
 
1.2%
철골콘크리트구조 1
 
0.6%
블록구조 1
 
0.6%

Length

2023-12-11T08:04:02.717899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:02.894500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 60
37.5%
일반철골구조 41
25.6%
경량철골구조 28
17.5%
강파이프구조 10
 
6.2%
na 9
 
5.6%
일반목구조 6
 
3.8%
벽돌구조 2
 
1.2%
콘크리트구조 2
 
1.2%
철골콘크리트구조 1
 
0.6%
블록구조 1
 
0.6%

허가일
Date

Distinct107
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-01-07 00:00:00
Maximum2022-12-30 00:00:00
2023-12-11T08:04:03.078303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:03.261259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

MISSING 

Distinct85
Distinct (%)85.9%
Missing61
Missing (%)38.1%
Memory size1.4 KiB
Minimum2022-01-19 00:00:00
Maximum2023-04-07 00:00:00
2023-12-11T08:04:03.402984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:03.566526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일
Date

MISSING 

Distinct58
Distinct (%)81.7%
Missing89
Missing (%)55.6%
Memory size1.4 KiB
Minimum2022-05-03 00:00:00
Maximum2023-05-10 00:00:00
2023-12-11T08:04:03.730267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:03.909118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주용도
Categorical

Distinct17
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
제2종근린생활시설
37 
단독주택
35 
제1종근린생활시설
29 
공장
18 
동물및식물관련시설
15 
Other values (12)
26 

Length

Max length9
Median length9
Mean length6.45625
Min length2

Unique

Unique5 ?
Unique (%)3.1%

Sample

1st row공장
2nd row제2종근린생활시설
3rd row제2종근린생활시설
4th row동물및식물관련시설
5th row창고시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 37
23.1%
단독주택 35
21.9%
제1종근린생활시설 29
18.1%
공장 18
11.2%
동물및식물관련시설 15
9.4%
창고시설 5
 
3.1%
숙박시설 3
 
1.9%
야영장시설 3
 
1.9%
노유자시설 3
 
1.9%
자동차관련시설 3
 
1.9%
Other values (7) 9
 
5.6%

Length

2023-12-11T08:04:04.074624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 37
23.1%
단독주택 35
21.9%
제1종근린생활시설 29
18.1%
공장 18
11.2%
동물및식물관련시설 15
9.4%
창고시설 5
 
3.1%
자동차관련시설 3
 
1.9%
노유자시설 3
 
1.9%
야영장시설 3
 
1.9%
숙박시설 3
 
1.9%
Other values (7) 9
 
5.6%

설계사무소명
Text

Distinct76
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:04:04.287222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.45625
Min length7

Characters and Unicode

Total characters1513
Distinct characters111
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)31.2%

Sample

1st row가원종합건축사사무소
2nd row건축사사무소 예림
3rd row대가건축사사무소
4th row우미건축사(사)
5th row예건건축사사무소
ValueCountFrequency (%)
건축사사무소 26
 
13.3%
예림 14
 
7.1%
주)수안건축사사무소 10
 
5.1%
으뜸건축사사무소 10
 
5.1%
건축사사무소가인 8
 
4.1%
예당건축사사무소 7
 
3.6%
동우건축사사무소 6
 
3.1%
강현 6
 
3.1%
주식회사 6
 
3.1%
건축사사무소오복건축 4
 
2.0%
Other values (71) 99
50.5%
2023-12-11T08:04:04.678938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 326
21.5%
건 171
11.3%
축 169
11.2%
소 156
 
10.3%
무 153
 
10.1%
37
 
2.4%
예 26
 
1.7%
주 24
 
1.6%
림 22
 
1.5%
( 22
 
1.5%
Other values (101) 407
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1422
94.0%
Space Separator 37
 
2.4%
Open Punctuation 22
 
1.5%
Close Punctuation 22
 
1.5%
Uppercase Letter 8
 
0.5%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 326
22.9%
건 171
12.0%
축 169
11.9%
소 156
11.0%
무 153
10.8%
예 26
 
1.8%
주 24
 
1.7%
림 22
 
1.5%
종 21
 
1.5%
합 19
 
1.3%
Other values (93) 335
23.6%
Uppercase Letter
ValueCountFrequency (%)
M 4
50.0%
E 2
25.0%
S 2
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1422
94.0%
Common 83
 
5.5%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 326
22.9%
건 171
12.0%
축 169
11.9%
소 156
11.0%
무 153
10.8%
예 26
 
1.8%
주 24
 
1.7%
림 22
 
1.5%
종 21
 
1.5%
합 19
 
1.3%
Other values (93) 335
23.6%
Common
ValueCountFrequency (%)
37
44.6%
( 22
26.5%
) 22
26.5%
2 1
 
1.2%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
M 4
50.0%
E 2
25.0%
S 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1422
94.0%
ASCII 91
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 326
22.9%
건 171
12.0%
축 169
11.9%
소 156
11.0%
무 153
10.8%
예 26
 
1.8%
주 24
 
1.7%
림 22
 
1.5%
종 21
 
1.5%
합 19
 
1.3%
Other values (93) 335
23.6%
ASCII
ValueCountFrequency (%)
37
40.7%
( 22
24.2%
) 22
24.2%
M 4
 
4.4%
E 2
 
2.2%
S 2
 
2.2%
2 1
 
1.1%
1 1
 
1.1%

설계자 도로명주소
Text

Distinct78
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:04:04.924287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length27.4
Min length15

Characters and Unicode

Total characters4384
Distinct characters185
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)32.5%

Sample

1st row경상남도 사천시 사천읍 역사길 11-22, 3층(수석리,IK타운 )
2nd row경상남도 사천시 새고개길 21 (좌룡동)
3rd row경상남도 사천시 중앙로 178, ,벌리동
4th row경상남도 사천시 사천읍 구암두문로 15, 1층
5th row경상남도 사천시 용현면 금문길 25
ValueCountFrequency (%)
경상남도 147
 
15.9%
사천시 98
 
10.6%
진주시 35
 
3.8%
사천읍 34
 
3.7%
용현면 26
 
2.8%
2층 22
 
2.4%
3층 17
 
1.8%
1층 16
 
1.7%
좌룡동 15
 
1.6%
21 15
 
1.6%
Other values (219) 499
54.0%
2023-12-11T08:04:05.320778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
765
 
17.4%
시 194
 
4.4%
1 173
 
3.9%
남 167
 
3.8%
사 161
 
3.7%
상 158
 
3.6%
경 151
 
3.4%
도 151
 
3.4%
2 146
 
3.3%
천 142
 
3.2%
Other values (175) 2176
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2596
59.2%
Space Separator 765
 
17.4%
Decimal Number 737
 
16.8%
Other Punctuation 132
 
3.0%
Close Punctuation 54
 
1.2%
Open Punctuation 54
 
1.2%
Dash Punctuation 37
 
0.8%
Uppercase Letter 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 194
 
7.5%
남 167
 
6.4%
사 161
 
6.2%
상 158
 
6.1%
경 151
 
5.8%
도 151
 
5.8%
천 142
 
5.5%
길 96
 
3.7%
로 93
 
3.6%
층 73
 
2.8%
Other values (155) 1210
46.6%
Decimal Number
ValueCountFrequency (%)
1 173
23.5%
2 146
19.8%
3 87
11.8%
4 63
 
8.5%
0 62
 
8.4%
9 51
 
6.9%
5 48
 
6.5%
8 40
 
5.4%
6 34
 
4.6%
7 33
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
I 3
33.3%
K 3
33.3%
A 1
 
11.1%
B 1
 
11.1%
H 1
 
11.1%
Space Separator
ValueCountFrequency (%)
765
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2596
59.2%
Common 1779
40.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 194
 
7.5%
남 167
 
6.4%
사 161
 
6.2%
상 158
 
6.1%
경 151
 
5.8%
도 151
 
5.8%
천 142
 
5.5%
길 96
 
3.7%
로 93
 
3.6%
층 73
 
2.8%
Other values (155) 1210
46.6%
Common
ValueCountFrequency (%)
765
43.0%
1 173
 
9.7%
2 146
 
8.2%
, 132
 
7.4%
3 87
 
4.9%
4 63
 
3.5%
0 62
 
3.5%
) 54
 
3.0%
( 54
 
3.0%
9 51
 
2.9%
Other values (5) 192
 
10.8%
Latin
ValueCountFrequency (%)
I 3
33.3%
K 3
33.3%
A 1
 
11.1%
B 1
 
11.1%
H 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2596
59.2%
ASCII 1788
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
765
42.8%
1 173
 
9.7%
2 146
 
8.2%
, 132
 
7.4%
3 87
 
4.9%
4 63
 
3.5%
0 62
 
3.5%
) 54
 
3.0%
( 54
 
3.0%
9 51
 
2.9%
Other values (10) 201
 
11.2%
Hangul
ValueCountFrequency (%)
시 194
 
7.5%
남 167
 
6.4%
사 161
 
6.2%
상 158
 
6.1%
경 151
 
5.8%
도 151
 
5.8%
천 142
 
5.5%
길 96
 
3.7%
로 93
 
3.6%
층 73
 
2.8%
Other values (155) 1210
46.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2023-06-01 00:00:00
Maximum2023-06-01 00:00:00
2023-12-11T08:04:05.441517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:05.557585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:03:59.346049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:58.795749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:59.088051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:59.427181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:58.901258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:59.185066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:59.525284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:59.006737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:59.262867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:04:05.650248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축구분대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조착공처리일사용승인일주용도설계사무소명설계자 도로명주소
건축구분1.0000.3310.3270.4890.4790.8460.0000.5320.0000.000
대지면적(제곱미터)0.3311.0000.9900.9180.0000.8210.0000.0000.9040.908
건축면적(제곱미터)0.3270.9901.0000.9670.0000.0000.0000.0000.9530.957
연면적(제곱미터)0.4890.9180.9671.0000.0000.0000.0000.4600.9570.958
구조0.4790.0000.0000.0001.0000.0000.9030.6050.7870.749
착공처리일0.8460.8210.0000.0000.0001.0000.9480.0000.9890.990
사용승인일0.0000.0000.0000.0000.9030.9481.0000.8780.7210.721
주용도0.5320.0000.0000.4600.6050.0000.8781.0000.8820.878
설계사무소명0.0000.9040.9530.9570.7870.9890.7210.8821.0001.000
설계자 도로명주소0.0000.9080.9570.9580.7490.9900.7210.8781.0001.000
2023-12-11T08:04:05.772004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도건축구분구조
주용도1.0000.3090.282
건축구분0.3091.0000.321
구조0.2820.3211.000
2023-12-11T08:04:05.893509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)건축구분구조주용도
대지면적(제곱미터)1.0000.8710.7400.2300.0000.000
건축면적(제곱미터)0.8711.0000.9190.2270.0000.000
연면적(제곱미터)0.7400.9191.0000.2320.0000.205
건축구분0.2300.2270.2321.0000.3210.309
구조0.0000.0000.0000.3211.0000.282
주용도0.0000.0000.2050.3090.2821.000

Missing values

2023-12-11T08:03:59.649691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:03:59.806049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T08:03:59.913863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조허가일착공처리일사용승인일주용도설계사무소명설계자 도로명주소데이터기준일자
0증축경상남도 사천시 용현면 신촌리 588-11658892879712경량철골구조2022-12-302023-01-042023-04-10공장가원종합건축사사무소경상남도 사천시 사천읍 역사길 11-22, 3층(수석리,IK타운 )2023-06-01
1증축경상남도 사천시 노룡동 975 외12필지768212161216철근콘크리트구조2022-12-272023-01-102023-05-10제2종근린생활시설건축사사무소 예림경상남도 사천시 새고개길 21 (좌룡동)2023-06-01
2신축경상남도 사천시 용강동 853-6300179179경량철골구조2022-12-212022-12-302023-04-14제2종근린생활시설대가건축사사무소경상남도 사천시 중앙로 178, ,벌리동2023-06-01
3신축경상남도 사천시 곤양면 대진리 269 외2필지390118991899경량철골구조2022-12-19<NA><NA>동물및식물관련시설우미건축사(사)경상남도 사천시 사천읍 구암두문로 15, 1층2023-06-01
4신축경상남도 사천시 정동면 감곡리 497410916141614일반철골구조2022-12-162023-04-07<NA>창고시설예건건축사사무소경상남도 사천시 용현면 금문길 252023-06-01
5신축경상남도 사천시 사천읍 두량리 14401116380380경량철골구조2022-12-16<NA><NA>창고시설조은정일현건축사사무소경상남도 진주시 남강로736번길 6-3, 2층2023-06-01
6증축경상남도 사천시 정동면 화암리 177-1 외1필지2533492609철근콘크리트구조2022-12-142022-12-272023-05-03단독주택예당건축사사무소경상남도 사천시 사천읍 사천대로 1882, 3층2023-06-01
7신축경상남도 사천시 벌리동 481-2303411252295철근콘크리트구조2022-12-13<NA><NA>교육연구시설(주)제이디에스종합건축사사무소경기도 의정부시 평화로 492, 베스트뷰 오피스텔 15062023-06-01
8신축경상남도 사천시 용강동 540-44338106112철근콘크리트구조2022-12-012023-01-16<NA>단독주택원종합건축사사무소경상남도 사천시 남일로 49, 2층, 원종합건축사사무소2023-06-01
9신축경상남도 사천시 사천읍 사주리 137-21258154154경량철골구조2022-12-012022-12-072023-03-06제2종근린생활시설희림건축사사무소경상남도 사천시 사천읍 진삼로 1383, 2층2023-06-01
건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조허가일착공처리일사용승인일주용도설계사무소명설계자 도로명주소데이터기준일자
150용도변경경상남도 사천시 사남면 초전리 3341164141블록구조2022-01-13<NA><NA>창고시설우미건축사사무소경상남도 사천시 정동면 정동중앙로 19, 1002호(나라스카이빌)2023-06-01
151신축경상남도 사천시 서포면 구평리 233-51835365701일반철골구조2022-01-132022-03-082022-09-07제2종근린생활시설건축사사무소가토경상남도 진주시 말티고개로123번길 8-1, 3층2023-06-01
152신축경상남도 사천시 서포면 금진리 산 104-51180227454일반철골구조2022-01-132022-01-19<NA>제1종근린생활시설예당건축사사무소경상남도 사천시 사천읍 사천대로 1882, 3층2023-06-01
153용도변경경상남도 사천시 곤양면 흥사리 616660126116경량철골구조2022-01-12<NA><NA>단독주택모두하영민건축사사무소경상남도 진주시 진주대로953번길 13, 상가동 3층(강남동)2023-06-01
154증축경상남도 사천시 사남면 월성리 42118664973014044일반철골구조2022-01-122022-03-15<NA>공장EM건축사사무소경상남도 사천시 정동면 진삼로 1386, 한보3차아파트 상가 204호2023-06-01
155신축경상남도 사천시 서포면 비토리 283-14 외2필지5584268349철근콘크리트구조2022-01-122022-01-242022-05-03야영장시설건축사사무소21세기경상남도 진주시 천수로 57, 2층 202호(주약동)2023-06-01
156신축경상남도 사천시 사천읍 구암리 1105-425485061009일반철골구조2022-01-112022-03-042022-08-30운동시설건축사사무소가토경상남도 진주시 말티고개로123번길 8-1, 3층2023-06-01
157신축경상남도 사천시 사천읍 장전리 37347314301430강파이프구조2022-01-11<NA><NA>동물및식물관련시설건축사사무소 강현경상남도 사천시 사천읍 서재농청길 49, 1층2023-06-01
158신축경상남도 사천시 용현면 신복리 482-8831294294경량철골구조2022-01-072022-03-042022-08-03제2종근린생활시설건축사(사)동서건축경상남도 사천시 벌리1길 16, 204호(벌리동,비룡데파트)2023-06-01
159신축경상남도 사천시 용현면 신복리 482-15966294294경량철골구조2022-01-072022-03-042022-08-03제2종근린생활시설건축사(사)동서건축경상남도 사천시 벌리1길 16, 204호(벌리동,비룡데파트)2023-06-01

Duplicate rows

Most frequently occurring

건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)구조허가일착공처리일사용승인일주용도설계사무소명설계자 도로명주소데이터기준일자# duplicates
0신축경상남도 사천시 향촌동 919-2467199620철근콘크리트구조2022-08-312022-09-26<NA>단독주택건축사사무소오복건축경상남도 진주시 남강로1129번길 10, 2층2023-06-012