Overview

Dataset statistics

Number of variables11
Number of observations187
Missing cells453
Missing cells (%)22.0%
Duplicate rows7
Duplicate rows (%)3.7%
Total size in memory16.2 KiB
Average record size in memory88.7 B

Variable types

Text6
Categorical2
DateTime3

Dataset

Description위치,주용도,착공예정일,실제착공일,시공업체명 등을 기준으로 경상남도 사천시 건설현장시공 정보를 알 수 있는 데이터입니다.
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15048900

Alerts

Dataset has 7 (3.7%) duplicate rowsDuplicates
착공예정일 has 6 (3.2%) missing valuesMissing
실제 착공일(착공처리일) has 16 (8.6%) missing valuesMissing
준공예정일 has 168 (89.8%) missing valuesMissing
시공업체명(빈칸은 건축주 직영) has 114 (61.0%) missing valuesMissing
시공업체 전화번호 has 124 (66.3%) missing valuesMissing
감리사무소명 has 16 (8.6%) missing valuesMissing
설계사무소 전화번호 has 9 (4.8%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:55:41.469140
Analysis finished2023-12-11 00:55:42.967828
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시공 대지위치
Text

Distinct164
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:55:43.295507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.909091
Min length16

Characters and Unicode

Total characters4097
Distinct characters96
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

Unique148 ?
Unique (%)79.1%

Sample

1st row경상남도 사천시 벌리동 260-8
2nd row경상남도 사천시 사남면 유천리 71-1
3rd row경상남도 사천시 벌리동 250-6
4th row경상남도 사천시 향촌동 980-23
5th row경상남도 사천시 축동면 구호리 82
ValueCountFrequency (%)
경상남도 187
19.9%
사천시 187
19.9%
외1필지 28
 
3.0%
산 23
 
2.5%
외2필지 22
 
2.3%
사천읍 22
 
2.3%
외3필지 17
 
1.8%
사남면 16
 
1.7%
실안동 16
 
1.7%
용강동 14
 
1.5%
Other values (226) 406
43.3%
2023-12-11T09:55:43.852018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
751
18.3%
사 227
 
5.5%
천 217
 
5.3%
남 208
 
5.1%
경 187
 
4.6%
도 187
 
4.6%
시 187
 
4.6%
상 187
 
4.6%
1 178
 
4.3%
- 147
 
3.6%
Other values (86) 1621
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2392
58.4%
Decimal Number 807
 
19.7%
Space Separator 751
 
18.3%
Dash Punctuation 147
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 227
 
9.5%
천 217
 
9.1%
남 208
 
8.7%
경 187
 
7.8%
도 187
 
7.8%
시 187
 
7.8%
상 187
 
7.8%
동 125
 
5.2%
리 98
 
4.1%
지 83
 
3.5%
Other values (74) 686
28.7%
Decimal Number
ValueCountFrequency (%)
1 178
22.1%
2 134
16.6%
3 97
12.0%
4 76
9.4%
5 64
 
7.9%
6 63
 
7.8%
8 56
 
6.9%
9 48
 
5.9%
7 47
 
5.8%
0 44
 
5.5%
Space Separator
ValueCountFrequency (%)
751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2392
58.4%
Common 1705
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 227
 
9.5%
천 217
 
9.1%
남 208
 
8.7%
경 187
 
7.8%
도 187
 
7.8%
시 187
 
7.8%
상 187
 
7.8%
동 125
 
5.2%
리 98
 
4.1%
지 83
 
3.5%
Other values (74) 686
28.7%
Common
ValueCountFrequency (%)
751
44.0%
1 178
 
10.4%
- 147
 
8.6%
2 134
 
7.9%
3 97
 
5.7%
4 76
 
4.5%
5 64
 
3.8%
6 63
 
3.7%
8 56
 
3.3%
9 48
 
2.8%
Other values (2) 91
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2392
58.4%
ASCII 1705
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
751
44.0%
1 178
 
10.4%
- 147
 
8.6%
2 134
 
7.9%
3 97
 
5.7%
4 76
 
4.5%
5 64
 
3.8%
6 63
 
3.7%
8 56
 
3.3%
9 48
 
2.8%
Other values (2) 91
 
5.3%
Hangul
ValueCountFrequency (%)
사 227
 
9.5%
천 217
 
9.1%
남 208
 
8.7%
경 187
 
7.8%
도 187
 
7.8%
시 187
 
7.8%
상 187
 
7.8%
동 125
 
5.2%
리 98
 
4.1%
지 83
 
3.5%
Other values (74) 686
28.7%

주용도
Categorical

Distinct14
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
단독주택
60 
제2종근린생활시설
34 
공동주택
34 
제1종근린생활시설
20 
동.식물관련시설
15 
Other values (9)
24 

Length

Max length9
Median length4
Mean length5.7112299
Min length2

Unique

Unique4 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 60
32.1%
제2종근린생활시설 34
18.2%
공동주택 34
18.2%
제1종근린생활시설 20
 
10.7%
동.식물관련시설 15
 
8.0%
공장 9
 
4.8%
창고시설 4
 
2.1%
노유자시설 3
 
1.6%
숙박시설 2
 
1.1%
운동시설 2
 
1.1%
Other values (4) 4
 
2.1%

Length

2023-12-11T09:55:44.013478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 60
32.1%
제2종근린생활시설 34
18.2%
공동주택 34
18.2%
제1종근린생활시설 20
 
10.7%
동.식물관련시설 15
 
8.0%
공장 9
 
4.8%
창고시설 4
 
2.1%
노유자시설 3
 
1.6%
숙박시설 2
 
1.1%
운동시설 2
 
1.1%
Other values (4) 4
 
2.1%

착공예정일
Date

MISSING 

Distinct129
Distinct (%)71.3%
Missing6
Missing (%)3.2%
Memory size1.6 KiB
Minimum2007-04-05 00:00:00
Maximum2019-04-08 00:00:00
2023-12-11T09:55:44.221245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:55:44.368587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제 착공일(착공처리일)
Date

MISSING 

Distinct121
Distinct (%)70.8%
Missing16
Missing (%)8.6%
Memory size1.6 KiB
Minimum2016-03-22 00:00:00
Maximum2019-04-08 00:00:00
2023-12-11T09:55:44.526174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:55:44.658839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공예정일
Date

MISSING 

Distinct16
Distinct (%)84.2%
Missing168
Missing (%)89.8%
Memory size1.6 KiB
Minimum2016-11-30 00:00:00
Maximum2019-12-31 00:00:00
2023-12-11T09:55:44.781613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:55:44.926508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

시공업체명(빈칸은 건축주 직영)
Text

MISSING 

Distinct53
Distinct (%)72.6%
Missing114
Missing (%)61.0%
Memory size1.6 KiB
2023-12-11T09:55:45.198906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.6712329
Min length6

Characters and Unicode

Total characters633
Distinct characters89
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

Unique40 ?
Unique (%)54.8%

Sample

1st row철인종합건설(주)
2nd row(유)풍성산업개발
3rd row수경종합건설(주)
4th row(주)선경건축
5th row(주)상합이엔씨
ValueCountFrequency (%)
주)효진종합건설 6
 
8.0%
우호건설주식회사 4
 
5.3%
주)해창종합건설 3
 
4.0%
주)아이엔종합건설 2
 
2.7%
주식회사 2
 
2.7%
한웅건설(주 2
 
2.7%
신원건설(주 2
 
2.7%
제일건설(주 2
 
2.7%
비룡건설(주 2
 
2.7%
주식회사해광종합건설 2
 
2.7%
Other values (44) 48
64.0%
2023-12-11T09:55:45.588029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 71
 
11.2%
건 66
 
10.4%
설 65
 
10.3%
( 55
 
8.7%
) 55
 
8.7%
합 44
 
7.0%
종 42
 
6.6%
식 17
 
2.7%
사 17
 
2.7%
회 17
 
2.7%
Other values (79) 184
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 521
82.3%
Open Punctuation 55
 
8.7%
Close Punctuation 55
 
8.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 71
13.6%
건 66
12.7%
설 65
 
12.5%
합 44
 
8.4%
종 42
 
8.1%
식 17
 
3.3%
사 17
 
3.3%
회 17
 
3.3%
이 10
 
1.9%
해 9
 
1.7%
Other values (76) 163
31.3%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 521
82.3%
Common 112
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 71
13.6%
건 66
12.7%
설 65
 
12.5%
합 44
 
8.4%
종 42
 
8.1%
식 17
 
3.3%
사 17
 
3.3%
회 17
 
3.3%
이 10
 
1.9%
해 9
 
1.7%
Other values (76) 163
31.3%
Common
ValueCountFrequency (%)
( 55
49.1%
) 55
49.1%
2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 521
82.3%
ASCII 112
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 71
13.6%
건 66
12.7%
설 65
 
12.5%
합 44
 
8.4%
종 42
 
8.1%
식 17
 
3.3%
사 17
 
3.3%
회 17
 
3.3%
이 10
 
1.9%
해 9
 
1.7%
Other values (76) 163
31.3%
ASCII
ValueCountFrequency (%)
( 55
49.1%
) 55
49.1%
2
 
1.8%

시공업체 전화번호
Text

MISSING 

Distinct44
Distinct (%)69.8%
Missing124
Missing (%)66.3%
Memory size1.6 KiB
2023-12-11T09:55:45.841833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters756
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)52.4%

Sample

1st row051-502-1464
2nd row055-536-3369
3rd row055-268-5679
4th row055-854-0333
5th row055-237-0038
ValueCountFrequency (%)
053-635-0631 6
 
9.5%
051-755-4403 4
 
6.3%
055-855-7338 4
 
6.3%
055-754-1481 2
 
3.2%
055-253-3396 2
 
3.2%
055-275-6100 2
 
3.2%
051-714-3737 2
 
3.2%
042-472-7346 2
 
3.2%
062-960-0330 2
 
3.2%
062-961-0330 2
 
3.2%
Other values (34) 35
55.6%
2023-12-11T09:55:46.158105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 149
19.7%
- 126
16.7%
0 121
16.0%
3 79
10.4%
7 51
 
6.7%
1 50
 
6.6%
6 44
 
5.8%
4 38
 
5.0%
2 38
 
5.0%
8 33
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
83.3%
Dash Punctuation 126
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 149
23.7%
0 121
19.2%
3 79
12.5%
7 51
 
8.1%
1 50
 
7.9%
6 44
 
7.0%
4 38
 
6.0%
2 38
 
6.0%
8 33
 
5.2%
9 27
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 149
19.7%
- 126
16.7%
0 121
16.0%
3 79
10.4%
7 51
 
6.7%
1 50
 
6.6%
6 44
 
5.8%
4 38
 
5.0%
2 38
 
5.0%
8 33
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 149
19.7%
- 126
16.7%
0 121
16.0%
3 79
10.4%
7 51
 
6.7%
1 50
 
6.6%
6 44
 
5.8%
4 38
 
5.0%
2 38
 
5.0%
8 33
 
4.4%

감리사무소명
Text

MISSING 

Distinct63
Distinct (%)36.8%
Missing16
Missing (%)8.6%
Memory size1.6 KiB
2023-12-11T09:55:46.376220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length9.1111111
Min length7

Characters and Unicode

Total characters1558
Distinct characters84
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

Unique38 ?
Unique (%)22.2%

Sample

1st row주식회사 가우건축사사무소
2nd row한비 건축사사무소
3rd row건축사사무소강현
4th row에이플러스건축사사무소
5th row원종합건축사사무소
ValueCountFrequency (%)
건축사사무소 41
 
18.6%
건축사사무소가인 12
 
5.4%
지음 9
 
4.1%
우미건축사(사 9
 
4.1%
건축사사무소으뜸 9
 
4.1%
예림 9
 
4.1%
진원건축사사무소 9
 
4.1%
기담건축사사무소 6
 
2.7%
주식회사 6
 
2.7%
동우건축사사무소 6
 
2.7%
Other values (57) 105
47.5%
2023-12-11T09:55:46.715052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 346
22.2%
건 182
11.7%
축 172
11.0%
무 159
 
10.2%
소 159
 
10.2%
50
 
3.2%
우 27
 
1.7%
인 23
 
1.5%
가 22
 
1.4%
( 20
 
1.3%
Other values (74) 398
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1461
93.8%
Space Separator 50
 
3.2%
Open Punctuation 20
 
1.3%
Close Punctuation 20
 
1.3%
Uppercase Letter 6
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 346
23.7%
건 182
12.5%
축 172
11.8%
무 159
10.9%
소 159
10.9%
우 27
 
1.8%
인 23
 
1.6%
가 22
 
1.5%
이 20
 
1.4%
예 18
 
1.2%
Other values (67) 333
22.8%
Uppercase Letter
ValueCountFrequency (%)
E 3
50.0%
M 2
33.3%
C 1
 
16.7%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1461
93.8%
Common 91
 
5.8%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 346
23.7%
건 182
12.5%
축 172
11.8%
무 159
10.9%
소 159
10.9%
우 27
 
1.8%
인 23
 
1.6%
가 22
 
1.5%
이 20
 
1.4%
예 18
 
1.2%
Other values (67) 333
22.8%
Common
ValueCountFrequency (%)
50
54.9%
( 20
 
22.0%
) 20
 
22.0%
& 1
 
1.1%
Latin
ValueCountFrequency (%)
E 3
50.0%
M 2
33.3%
C 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1461
93.8%
ASCII 97
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 346
23.7%
건 182
12.5%
축 172
11.8%
무 159
10.9%
소 159
10.9%
우 27
 
1.8%
인 23
 
1.6%
가 22
 
1.5%
이 20
 
1.4%
예 18
 
1.2%
Other values (67) 333
22.8%
ASCII
ValueCountFrequency (%)
50
51.5%
( 20
 
20.6%
) 20
 
20.6%
E 3
 
3.1%
M 2
 
2.1%
C 1
 
1.0%
& 1
 
1.0%

감리사무소 전화번호
Categorical

Distinct45
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
29 
055-833-3724
13 
055-852-0941
 
11
055-852-0071
 
10
055-835-1727
 
9
Other values (40)
115 

Length

Max length13
Median length12
Mean length10.759358
Min length4

Unique

Unique20 ?
Unique (%)10.7%

Sample

1st row055-854-1135
2nd row051-294-9911
3rd row070-8800-9611
4th row055-835-8771
5th row055-832-1301

Common Values

ValueCountFrequency (%)
<NA> 29
 
15.5%
055-833-3724 13
 
7.0%
055-852-0941 11
 
5.9%
055-852-0071 10
 
5.3%
055-835-1727 9
 
4.8%
055-833-9668 9
 
4.8%
055-835-6991 8
 
4.3%
055-832-8010 7
 
3.7%
055-852-5801 7
 
3.7%
055-835-6990 7
 
3.7%
Other values (35) 77
41.2%

Length

2023-12-11T09:55:46.837052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 29
 
15.5%
055-833-3724 13
 
7.0%
055-852-0941 11
 
5.9%
055-852-0071 10
 
5.3%
055-835-1727 9
 
4.8%
055-833-9668 9
 
4.8%
055-835-6991 8
 
4.3%
055-832-8010 7
 
3.7%
055-852-5801 7
 
3.7%
055-835-6990 7
 
3.7%
Other values (35) 77
41.2%

설계사무소명
Text

Distinct85
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:55:47.030289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.1497326
Min length7

Characters and Unicode

Total characters1711
Distinct characters122
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

Unique57 ?
Unique (%)30.5%

Sample

1st row우미건축사(사)
2nd row한비 건축사사무소
3rd row건축사사무소가인
4th rowEM건축사사무소
5th row건축사사무소창
ValueCountFrequency (%)
건축사사무소 19
 
8.8%
건축사사무소가인 17
 
7.8%
우미건축사(사 16
 
7.4%
건축사(사)동서건축 10
 
4.6%
희림건축사사무소 7
 
3.2%
디딤건축사사무소 7
 
3.2%
예당건축사사무소 6
 
2.8%
종합건축사사무소가인엔지니어링 6
 
2.8%
예림 6
 
2.8%
건축사사무소이건설계 5
 
2.3%
Other values (82) 118
54.4%
2023-12-11T09:55:47.336889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 377
22.0%
건 211
12.3%
축 200
11.7%
소 160
 
9.4%
무 158
 
9.2%
( 41
 
2.4%
) 41
 
2.4%
30
 
1.8%
인 29
 
1.7%
우 26
 
1.5%
Other values (112) 438
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1587
92.8%
Open Punctuation 41
 
2.4%
Close Punctuation 41
 
2.4%
Space Separator 30
 
1.8%
Uppercase Letter 10
 
0.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 377
23.8%
건 211
13.3%
축 200
12.6%
소 160
10.1%
무 158
10.0%
인 29
 
1.8%
우 26
 
1.6%
가 23
 
1.4%
주 19
 
1.2%
예 18
 
1.1%
Other values (102) 366
23.1%
Uppercase Letter
ValueCountFrequency (%)
M 4
40.0%
E 3
30.0%
G 1
 
10.0%
T 1
 
10.0%
C 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1587
92.8%
Common 114
 
6.7%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 377
23.8%
건 211
13.3%
축 200
12.6%
소 160
10.1%
무 158
10.0%
인 29
 
1.8%
우 26
 
1.6%
가 23
 
1.4%
주 19
 
1.2%
예 18
 
1.1%
Other values (102) 366
23.1%
Common
ValueCountFrequency (%)
( 41
36.0%
) 41
36.0%
30
26.3%
2 1
 
0.9%
1 1
 
0.9%
Latin
ValueCountFrequency (%)
M 4
40.0%
E 3
30.0%
G 1
 
10.0%
T 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1587
92.8%
ASCII 124
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 377
23.8%
건 211
13.3%
축 200
12.6%
소 160
10.1%
무 158
10.0%
인 29
 
1.8%
우 26
 
1.6%
가 23
 
1.4%
주 19
 
1.2%
예 18
 
1.1%
Other values (102) 366
23.1%
ASCII
ValueCountFrequency (%)
( 41
33.1%
) 41
33.1%
30
24.2%
M 4
 
3.2%
E 3
 
2.4%
2 1
 
0.8%
1 1
 
0.8%
G 1
 
0.8%
T 1
 
0.8%
C 1
 
0.8%

설계사무소 전화번호
Text

MISSING 

Distinct70
Distinct (%)39.3%
Missing9
Missing (%)4.8%
Memory size1.6 KiB
2023-12-11T09:55:47.556973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.994382
Min length11

Characters and Unicode

Total characters2135
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)23.6%

Sample

1st row055-852-0941
2nd row051-294-9911
3rd row055-833-3724
4th row055-855-0977
5th row055-757-7357
ValueCountFrequency (%)
055-833-3724 17
 
9.6%
055-852-0941 16
 
9.0%
055-832-9005 10
 
5.6%
055-835-0770 7
 
3.9%
055-835-1727 7
 
3.9%
055-832-3788 7
 
3.9%
055-321-0291 6
 
3.4%
055-854-5626 6
 
3.4%
055-832-1316 5
 
2.8%
055-854-0205 4
 
2.2%
Other values (60) 93
52.2%
2023-12-11T09:55:47.908582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 469
22.0%
- 356
16.7%
0 320
15.0%
8 170
 
8.0%
3 169
 
7.9%
2 159
 
7.4%
7 131
 
6.1%
1 118
 
5.5%
4 85
 
4.0%
6 81
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1779
83.3%
Dash Punctuation 356
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 469
26.4%
0 320
18.0%
8 170
 
9.6%
3 169
 
9.5%
2 159
 
8.9%
7 131
 
7.4%
1 118
 
6.6%
4 85
 
4.8%
6 81
 
4.6%
9 77
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 469
22.0%
- 356
16.7%
0 320
15.0%
8 170
 
8.0%
3 169
 
7.9%
2 159
 
7.4%
7 131
 
6.1%
1 118
 
5.5%
4 85
 
4.0%
6 81
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 469
22.0%
- 356
16.7%
0 320
15.0%
8 170
 
8.0%
3 169
 
7.9%
2 159
 
7.4%
7 131
 
6.1%
1 118
 
5.5%
4 85
 
4.0%
6 81
 
3.8%

Correlations

2023-12-11T09:55:47.991512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도준공예정일시공업체명(빈칸은 건축주 직영)시공업체 전화번호감리사무소명감리사무소 전화번호설계사무소명설계사무소 전화번호
주용도1.000NaN0.9981.0000.8650.8620.9400.903
준공예정일NaN1.0000.9630.9840.9560.9420.7320.978
시공업체명(빈칸은 건축주 직영)0.9980.9631.0001.0000.9970.9950.9991.000
시공업체 전화번호1.0000.9841.0001.0000.9960.9940.9991.000
감리사무소명0.8650.9560.9970.9961.0001.0000.9820.975
감리사무소 전화번호0.8620.9420.9950.9941.0001.0000.9740.974
설계사무소명0.9400.7320.9990.9990.9820.9741.0001.000
설계사무소 전화번호0.9030.9781.0001.0000.9750.9741.0001.000
2023-12-11T09:55:48.082438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도감리사무소 전화번호
주용도1.0000.404
감리사무소 전화번호0.4041.000
2023-12-11T09:55:48.152107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도감리사무소 전화번호
주용도1.0000.404
감리사무소 전화번호0.4041.000

Missing values

2023-12-11T09:55:42.553320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:55:42.709654image/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.
2023-12-11T09:55:42.841473image/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

시공 대지위치주용도착공예정일실제 착공일(착공처리일)준공예정일시공업체명(빈칸은 건축주 직영)시공업체 전화번호감리사무소명감리사무소 전화번호설계사무소명설계사무소 전화번호
0경상남도 사천시 벌리동 260-8제1종근린생활시설2019-03-202019-03-20<NA><NA><NA>주식회사 가우건축사사무소055-854-1135우미건축사(사)055-852-0941
1경상남도 사천시 사남면 유천리 71-1공장2019-03-202019-03-19<NA>철인종합건설(주)051-502-1464한비 건축사사무소051-294-9911한비 건축사사무소051-294-9911
2경상남도 사천시 벌리동 250-6숙박시설2019-02-232019-02-25<NA>(유)풍성산업개발055-536-3369건축사사무소강현070-8800-9611건축사사무소가인055-833-3724
3경상남도 사천시 향촌동 980-23단독주택2019-02-222019-02-21<NA><NA><NA>에이플러스건축사사무소055-835-8771EM건축사사무소055-855-0977
4경상남도 사천시 축동면 구호리 82제2종근린생활시설2019-03-062019-03-11<NA>수경종합건설(주)055-268-5679원종합건축사사무소055-832-1301건축사사무소창055-757-7357
5경상남도 사천시 사천읍 수석리 320-17 외3필지제2종근린생활시설2019-02-262019-02-27<NA>(주)선경건축055-854-0333에이플러스건축사사무소055-835-8771주원건축사사무소055-742-1155
6경상남도 사천시 용현면 신촌리 585-6창고시설2019-03-212019-03-20<NA>(주)상합이엔씨055-237-0038건축사사무소으뜸055-835-3312(주)하우엔지니어링건축사051-790-9945
7경상남도 사천시 향촌동 1155-21운동시설2019-02-282019-02-27<NA>공간종합건설(주)055-648-1144희림건축사사무소055-832-3788에이플러스건축사사무소055-835-8771
8경상남도 사천시 사천읍 수석리 114제2종근린생활시설2019-03-182019-03-18<NA><NA><NA>진원건축사사무소055-852-0071삼웅 건축사사무소054-457-2724
9경상남도 사천시 서포면 선전리 658-3 외1필지동.식물관련시설2019-01-302019-01-29<NA><NA><NA><NA><NA>홍인건축사사무소055-854-0205
시공 대지위치주용도착공예정일실제 착공일(착공처리일)준공예정일시공업체명(빈칸은 건축주 직영)시공업체 전화번호감리사무소명감리사무소 전화번호설계사무소명설계사무소 전화번호
177경상남도 사천시 동금동 321-5 외13필지공동주택2017-11-24<NA>2018-10-30명두종합건설(주)042-472-7346우미건축사(사)055-852-0941우미건축사(사)055-852-0941
178경상남도 사천시 용강동 618-1 외2필지공동주택2017-09-252017-09-252019-03-31비룡건설(주)051-714-3737건축사사무소 예림055-835-1727건축사사무소 예림055-835-1727
179경상남도 사천시 동금동 321-5 외9필지공동주택<NA><NA><NA><NA><NA><NA><NA>우미건축사(사)055-852-0941
180경상남도 사천시 사천읍 정의리 202-20 외2필지공동주택2018-12-10<NA>2019-05-20주식회사해광종합건설062-960-0330건축사사무소 예림055-835-1727이솔건축사사무소062-654-8110
181경상남도 사천시 사천읍 정의리 202-39 외3필지공동주택2018-12-10<NA>2019-05-20(주)해광종합건설062-961-0330건축사사무소 예림055-835-1727연담건축사사무소062-654-8110
182경상남도 사천시 사천읍 선인리 205-5공동주택2019-02-25<NA>2019-12-31한웅건설(주)051-255-0670우미건축사(사)055-852-0941우미건축사(사)055-852-0941
183경상남도 사천시 향촌동 827-3 외3필지공동주택2018-11-26<NA>2019-08-18주식회사제이에이치055-754-1481(주)수안 건축사사무소055-832-3650나우건축사사무소055-261-0266
184경상남도 사천시 동금동 140-5 외2필지공동주택<NA><NA><NA><NA><NA><NA><NA>원시스템건축사사무소051-323-5666
185경상남도 사천시 용강동 662-7 외2필지공동주택2018-05-01<NA>2019-05-30(주)강민종합건설055-253-3396건축사사무소가인055-833-3724건축사사무소가인055-833-3724
186경상남도 사천시 벌리동 53-23공동주택2018-03-29<NA>2019-06-30(주)해창종합건설055-855-7338진원건축사사무소055-852-0071우미건축사(사)055-852-0941

Duplicate rows

Most frequently occurring

시공 대지위치주용도착공예정일실제 착공일(착공처리일)준공예정일시공업체명(빈칸은 건축주 직영)시공업체 전화번호감리사무소명감리사무소 전화번호설계사무소명설계사무소 전화번호# duplicates
4경상남도 사천시 이금동 456-8단독주택2017-12-202017-12-13<NA><NA><NA>건축사사무소 예림055-835-1727건축사(사)동서건축055-832-90053
6경상남도 사천시 이금동 488-2단독주택2018-05-092018-05-10<NA><NA><NA>건축사사무소인하우스<NA>건축사사무소창055-757-73573
0경상남도 사천시 봉남동 277-2단독주택2018-02-222018-02-06<NA><NA><NA>에이플러스건축사사무소055-835-8771건축사(사)동서건축055-832-90052
1경상남도 사천시 봉남동 277-2단독주택2018-02-222018-02-07<NA><NA><NA>건축사사무소 으뜸055-835-6990건축사(사)동서건축055-832-90052
2경상남도 사천시 실안동 산 248 외1필지제2종근린생활시설2018-01-252018-01-24<NA><NA><NA>건축사사무소 지음055-833-9668디딤건축사사무소055-835-07702
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