Overview

Dataset statistics

Number of variables12
Number of observations133
Missing cells67
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory97.0 B

Variable types

Text7
Categorical1
DateTime4

Dataset

Description경상남도 창원시의 건설현장시공정보제공(설계사무소명, 감리사무소명, 시공자사무소명, 대지위치 등)
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035741

Alerts

착공예정일 has 3 (2.3%) missing valuesMissing
실제착공일 has 3 (2.3%) missing valuesMissing
시공자명 has 2 (1.5%) missing valuesMissing
시공자 전화번호 has 24 (18.0%) missing valuesMissing
감리사무소명 has 2 (1.5%) missing valuesMissing
감리자 전화번호 has 16 (12.0%) missing valuesMissing
설계자 전화번호 has 16 (12.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:57:05.738012
Analysis finished2023-12-10 23:57:07.839399
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대지위치
Text

Distinct128
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:57:08.019457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length24.43609
Min length12

Characters and Unicode

Total characters3250
Distinct characters114
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

Unique124 ?
Unique (%)93.2%

Sample

1st row경상남도 창원시 성산구 성주동 42
2nd row경상남도 창원시 성산구 성산동 66 외1필지
3rd row경상남도 창원시 성산구 성산동 74-1
4th row경상남도 창원시 성산구 가음정동 391-2 외3필지
5th row경상남도 창원시 진해구 자은동 136-1
ValueCountFrequency (%)
창원시 142
19.3%
경상남도 133
18.1%
성산구 38
 
5.2%
의창구 28
 
3.8%
마산합포구 28
 
3.8%
외1필지 15
 
2.0%
마산회원구 14
 
1.9%
진해구 14
 
1.9%
외2필지 9
 
1.2%
북면 9
 
1.2%
Other values (214) 306
41.6%
2023-12-11T08:57:08.403115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
18.6%
창 175
 
5.4%
원 161
 
5.0%
남 146
 
4.5%
시 145
 
4.5%
상 144
 
4.4%
도 135
 
4.2%
경 133
 
4.1%
구 132
 
4.1%
동 117
 
3.6%
Other values (104) 1359
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2066
63.6%
Space Separator 603
 
18.6%
Decimal Number 484
 
14.9%
Dash Punctuation 86
 
2.6%
Uppercase Letter 7
 
0.2%
Math Symbol 2
 
0.1%
Connector Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 175
 
8.5%
원 161
 
7.8%
남 146
 
7.1%
시 145
 
7.0%
상 144
 
7.0%
도 135
 
6.5%
경 133
 
6.4%
구 132
 
6.4%
동 117
 
5.7%
산 97
 
4.7%
Other values (85) 681
33.0%
Decimal Number
ValueCountFrequency (%)
1 99
20.5%
3 69
14.3%
2 69
14.3%
5 50
10.3%
6 42
8.7%
7 42
8.7%
4 39
 
8.1%
9 26
 
5.4%
8 26
 
5.4%
0 22
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
L 3
42.9%
B 3
42.9%
A 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
603
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2066
63.6%
Common 1177
36.2%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 175
 
8.5%
원 161
 
7.8%
남 146
 
7.1%
시 145
 
7.0%
상 144
 
7.0%
도 135
 
6.5%
경 133
 
6.4%
구 132
 
6.4%
동 117
 
5.7%
산 97
 
4.7%
Other values (85) 681
33.0%
Common
ValueCountFrequency (%)
603
51.2%
1 99
 
8.4%
- 86
 
7.3%
3 69
 
5.9%
2 69
 
5.9%
5 50
 
4.2%
6 42
 
3.6%
7 42
 
3.6%
4 39
 
3.3%
9 26
 
2.2%
Other values (6) 52
 
4.4%
Latin
ValueCountFrequency (%)
L 3
42.9%
B 3
42.9%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2066
63.6%
ASCII 1184
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
603
50.9%
1 99
 
8.4%
- 86
 
7.3%
3 69
 
5.8%
2 69
 
5.8%
5 50
 
4.2%
6 42
 
3.5%
7 42
 
3.5%
4 39
 
3.3%
9 26
 
2.2%
Other values (9) 59
 
5.0%
Hangul
ValueCountFrequency (%)
창 175
 
8.5%
원 161
 
7.8%
남 146
 
7.1%
시 145
 
7.0%
상 144
 
7.0%
도 135
 
6.5%
경 133
 
6.4%
구 132
 
6.4%
동 117
 
5.7%
산 97
 
4.7%
Other values (85) 681
33.0%

주용도
Categorical

Distinct15
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
공장
27 
제1종근린생활시설
25 
공동주택
17 
업무시설
17 
제2종근린생활시설
13 
Other values (10)
34 

Length

Max length9
Median length7
Mean length5.1879699
Min length2

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st row공장
2nd row공장
3rd row공장
4th row공장
5th row자동차관련시설

Common Values

ValueCountFrequency (%)
공장 27
20.3%
제1종근린생활시설 25
18.8%
공동주택 17
12.8%
업무시설 17
12.8%
제2종근린생활시설 13
9.8%
의료시설 13
9.8%
자동차관련시설 5
 
3.8%
단독주택 4
 
3.0%
종교시설 3
 
2.3%
판매시설 2
 
1.5%
Other values (5) 7
 
5.3%

Length

2023-12-11T08:57:08.584108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장 27
20.3%
제1종근린생활시설 25
18.8%
공동주택 17
12.8%
업무시설 17
12.8%
제2종근린생활시설 13
9.8%
의료시설 13
9.8%
자동차관련시설 5
 
3.8%
단독주택 4
 
3.0%
종교시설 3
 
2.3%
판매시설 2
 
1.5%
Other values (5) 7
 
5.3%

착공예정일
Date

MISSING 

Distinct122
Distinct (%)93.8%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
Minimum2000-08-30 00:00:00
Maximum2018-06-05 00:00:00
2023-12-11T08:57:08.755506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:08.933309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제착공일
Date

MISSING 

Distinct122
Distinct (%)93.8%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
Minimum2000-08-30 00:00:00
Maximum2018-06-05 00:00:00
2023-12-11T08:57:09.100049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:09.268638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

Distinct124
Distinct (%)93.9%
Missing1
Missing (%)0.8%
Memory size1.2 KiB
Minimum2000-08-25 00:00:00
Maximum2018-06-05 00:00:00
2023-12-11T08:57:09.434368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:09.613909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일
Date

Distinct124
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2000-09-06 00:00:00
Maximum2019-04-11 00:00:00
2023-12-11T08:57:09.764434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:57:09.925651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시공자명
Text

MISSING 

Distinct104
Distinct (%)79.4%
Missing2
Missing (%)1.5%
Memory size1.2 KiB
2023-12-11T08:57:10.216102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.740458
Min length3

Characters and Unicode

Total characters490
Distinct characters132
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)66.4%

Sample

1st row권헌양
2nd row구자무
3rd row이규홍
4th row(주)에스앤아이코퍼레이션
5th row박도현
ValueCountFrequency (%)
권헌양 7
 
5.3%
이태호 3
 
2.3%
백승훈 3
 
2.3%
권재현 3
 
2.3%
장기영 3
 
2.3%
한인환 3
 
2.3%
홍순철 2
 
1.5%
황노하 2
 
1.5%
문선배 2
 
1.5%
권정수 2
 
1.5%
Other values (94) 101
77.1%
2023-12-11T08:57:10.675580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 24
 
4.9%
재 17
 
3.5%
권 16
 
3.3%
명 16
 
3.3%
영 15
 
3.1%
김 14
 
2.9%
외 13
 
2.7%
주 13
 
2.7%
철 11
 
2.2%
수 10
 
2.0%
Other values (122) 341
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
94.7%
Decimal Number 14
 
2.9%
Open Punctuation 4
 
0.8%
Other Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 24
 
5.2%
재 17
 
3.7%
권 16
 
3.4%
명 16
 
3.4%
영 15
 
3.2%
김 14
 
3.0%
외 13
 
2.8%
주 13
 
2.8%
철 11
 
2.4%
수 10
 
2.2%
Other values (114) 315
67.9%
Decimal Number
ValueCountFrequency (%)
1 10
71.4%
2 1
 
7.1%
4 1
 
7.1%
6 1
 
7.1%
3 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
94.7%
Common 26
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 24
 
5.2%
재 17
 
3.7%
권 16
 
3.4%
명 16
 
3.4%
영 15
 
3.2%
김 14
 
3.0%
외 13
 
2.8%
주 13
 
2.8%
철 11
 
2.4%
수 10
 
2.2%
Other values (114) 315
67.9%
Common
ValueCountFrequency (%)
1 10
38.5%
( 4
 
15.4%
, 4
 
15.4%
) 4
 
15.4%
2 1
 
3.8%
4 1
 
3.8%
6 1
 
3.8%
3 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
94.7%
ASCII 26
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 24
 
5.2%
재 17
 
3.7%
권 16
 
3.4%
명 16
 
3.4%
영 15
 
3.2%
김 14
 
3.0%
외 13
 
2.8%
주 13
 
2.8%
철 11
 
2.4%
수 10
 
2.2%
Other values (114) 315
67.9%
ASCII
ValueCountFrequency (%)
1 10
38.5%
( 4
 
15.4%
, 4
 
15.4%
) 4
 
15.4%
2 1
 
3.8%
4 1
 
3.8%
6 1
 
3.8%
3 1
 
3.8%

시공자 전화번호
Text

MISSING 

Distinct83
Distinct (%)76.1%
Missing24
Missing (%)18.0%
Memory size1.2 KiB
2023-12-11T08:57:10.997786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.972477
Min length11

Characters and Unicode

Total characters1305
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

Unique68 ?
Unique (%)62.4%

Sample

1st row055-288-2400
2nd row051-862-0311
3rd row055-714-7608
4th row055-714-7620
5th row055-296-2802
ValueCountFrequency (%)
055-288-2400 8
 
7.3%
055-291-0178 3
 
2.8%
055-293-8118 3
 
2.8%
055-261-7000 3
 
2.8%
055-253-3396 3
 
2.8%
051-804-7123 3
 
2.8%
055-296-2802 2
 
1.8%
055-355-4224 2
 
1.8%
055-273-8400 2
 
1.8%
055-335-8662 2
 
1.8%
Other values (73) 78
71.6%
2023-12-11T08:57:11.426817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 232
17.8%
- 218
16.7%
0 213
16.3%
2 131
10.0%
1 99
7.6%
8 81
 
6.2%
3 78
 
6.0%
6 70
 
5.4%
7 68
 
5.2%
4 59
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1087
83.3%
Dash Punctuation 218
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 232
21.3%
0 213
19.6%
2 131
12.1%
1 99
9.1%
8 81
 
7.5%
3 78
 
7.2%
6 70
 
6.4%
7 68
 
6.3%
4 59
 
5.4%
9 56
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1305
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 232
17.8%
- 218
16.7%
0 213
16.3%
2 131
10.0%
1 99
7.6%
8 81
 
6.2%
3 78
 
6.0%
6 70
 
5.4%
7 68
 
5.2%
4 59
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 232
17.8%
- 218
16.7%
0 213
16.3%
2 131
10.0%
1 99
7.6%
8 81
 
6.2%
3 78
 
6.0%
6 70
 
5.4%
7 68
 
5.2%
4 59
 
4.5%

감리사무소명
Text

MISSING 

Distinct97
Distinct (%)74.0%
Missing2
Missing (%)1.5%
Memory size1.2 KiB
2023-12-11T08:57:11.730463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11.122137
Min length4

Characters and Unicode

Total characters1457
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)56.5%

Sample

1st row(주)소마이앤씨건축사사무소
2nd row혜광건축사(사)
3rd row(주)동방엔지니어링종합건축사사무소
4th row(주)창조종합건축사사무소
5th row이지건축사사무소
ValueCountFrequency (%)
건축사사무소 16
 
10.3%
주)유엔에이건축사사무소 7
 
4.5%
주)종합건축사사무소 4
 
2.6%
동인 4
 
2.6%
주)나우건축사사무소 4
 
2.6%
주)해동설계종합건축사사무소 3
 
1.9%
주)창조종합건축사사무소 3
 
1.9%
주식회사다몬건축사사무소 3
 
1.9%
창원종합건축사사무소 2
 
1.3%
공건축사사무소 2
 
1.3%
Other values (91) 107
69.0%
2023-12-11T08:57:12.261012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 257
17.6%
건 144
 
9.9%
축 139
 
9.5%
무 121
 
8.3%
소 121
 
8.3%
주 67
 
4.6%
( 66
 
4.5%
) 66
 
4.5%
종 30
 
2.1%
합 30
 
2.1%
Other values (109) 416
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1295
88.9%
Open Punctuation 66
 
4.5%
Close Punctuation 66
 
4.5%
Space Separator 24
 
1.6%
Other Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 257
19.8%
건 144
11.1%
축 139
 
10.7%
무 121
 
9.3%
소 121
 
9.3%
주 67
 
5.2%
종 30
 
2.3%
합 30
 
2.3%
이 18
 
1.4%
엔 18
 
1.4%
Other values (101) 350
27.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1295
88.9%
Common 160
 
11.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 257
19.8%
건 144
11.1%
축 139
 
10.7%
무 121
 
9.3%
소 121
 
9.3%
주 67
 
5.2%
종 30
 
2.3%
합 30
 
2.3%
이 18
 
1.4%
엔 18
 
1.4%
Other values (101) 350
27.0%
Common
ValueCountFrequency (%)
( 66
41.2%
) 66
41.2%
24
 
15.0%
. 2
 
1.2%
1 1
 
0.6%
2 1
 
0.6%
Latin
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1295
88.9%
ASCII 162
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 257
19.8%
건 144
11.1%
축 139
 
10.7%
무 121
 
9.3%
소 121
 
9.3%
주 67
 
5.2%
종 30
 
2.3%
합 30
 
2.3%
이 18
 
1.4%
엔 18
 
1.4%
Other values (101) 350
27.0%
ASCII
ValueCountFrequency (%)
( 66
40.7%
) 66
40.7%
24
 
14.8%
. 2
 
1.2%
1 1
 
0.6%
2 1
 
0.6%
D 1
 
0.6%
A 1
 
0.6%

감리자 전화번호
Text

MISSING 

Distinct79
Distinct (%)67.5%
Missing16
Missing (%)12.0%
Memory size1.2 KiB
2023-12-11T08:57:12.575299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters1404
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

Unique59 ?
Unique (%)50.4%

Sample

1st row055-238-3600
2nd row055-322-7888
3rd row051-741-3999
4th row02-2177-8461
5th row055-604-2122
ValueCountFrequency (%)
055-262-6622 6
 
5.1%
055-261-0266 5
 
4.3%
055-274-2378 4
 
3.4%
055-281-1988 4
 
3.4%
055-295-1552 4
 
3.4%
051-731-0061 3
 
2.6%
051-291-0003 3
 
2.6%
055-284-8444 3
 
2.6%
055-262-6120 3
 
2.6%
070-7536-7099 3
 
2.6%
Other values (69) 79
67.5%
2023-12-11T08:57:13.030854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 237
16.9%
- 234
16.7%
0 214
15.2%
2 189
13.5%
6 114
8.1%
1 93
 
6.6%
8 86
 
6.1%
7 67
 
4.8%
3 64
 
4.6%
4 60
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1170
83.3%
Dash Punctuation 234
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 237
20.3%
0 214
18.3%
2 189
16.2%
6 114
9.7%
1 93
 
7.9%
8 86
 
7.4%
7 67
 
5.7%
3 64
 
5.5%
4 60
 
5.1%
9 46
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1404
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 237
16.9%
- 234
16.7%
0 214
15.2%
2 189
13.5%
6 114
8.1%
1 93
 
6.6%
8 86
 
6.1%
7 67
 
4.8%
3 64
 
4.6%
4 60
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 237
16.9%
- 234
16.7%
0 214
15.2%
2 189
13.5%
6 114
8.1%
1 93
 
6.6%
8 86
 
6.1%
7 67
 
4.8%
3 64
 
4.6%
4 60
 
4.3%

설계사무소명
Text

Distinct99
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:57:13.265792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11
Min length4

Characters and Unicode

Total characters1463
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)57.1%

Sample

1st row(주)소마이앤씨건축사사무소
2nd row혜광건축사(사)
3rd row(주)동방엔지니어링종합건축사사무소
4th row(주)창조종합건축사사무소
5th row주식회사다몬건축사사무소
ValueCountFrequency (%)
건축사사무소 14
 
9.2%
주식회사다몬건축사사무소 6
 
3.9%
주)유엔에이건축사사무소 5
 
3.3%
동인 4
 
2.6%
공건축사(사 3
 
2.0%
주)창조종합건축사사무소 3
 
2.0%
주)종합건축사사무소 3
 
2.0%
청보건축사사무소 3
 
2.0%
주식회사비전건축사사무소 2
 
1.3%
종합건축사사무소 2
 
1.3%
Other values (92) 108
70.6%
2023-12-11T08:57:13.596445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 265
18.1%
건 145
 
9.9%
축 142
 
9.7%
소 120
 
8.2%
무 119
 
8.1%
주 70
 
4.8%
( 66
 
4.5%
) 66
 
4.5%
합 32
 
2.2%
종 32
 
2.2%
Other values (114) 406
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
89.1%
Open Punctuation 66
 
4.5%
Close Punctuation 66
 
4.5%
Space Separator 20
 
1.4%
Decimal Number 4
 
0.3%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 265
20.3%
건 145
11.1%
축 142
10.9%
소 120
 
9.2%
무 119
 
9.1%
주 70
 
5.4%
합 32
 
2.5%
종 32
 
2.5%
이 16
 
1.2%
인 14
 
1.1%
Other values (106) 349
26.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
89.1%
Common 157
 
10.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 265
20.3%
건 145
11.1%
축 142
10.9%
소 120
 
9.2%
무 119
 
9.1%
주 70
 
5.4%
합 32
 
2.5%
종 32
 
2.5%
이 16
 
1.2%
인 14
 
1.1%
Other values (106) 349
26.8%
Common
ValueCountFrequency (%)
( 66
42.0%
) 66
42.0%
20
 
12.7%
2 2
 
1.3%
1 2
 
1.3%
. 1
 
0.6%
Latin
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
89.1%
ASCII 159
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 265
20.3%
건 145
11.1%
축 142
10.9%
소 120
 
9.2%
무 119
 
9.1%
주 70
 
5.4%
합 32
 
2.5%
종 32
 
2.5%
이 16
 
1.2%
인 14
 
1.1%
Other values (106) 349
26.8%
ASCII
ValueCountFrequency (%)
( 66
41.5%
) 66
41.5%
20
 
12.6%
2 2
 
1.3%
1 2
 
1.3%
. 1
 
0.6%
D 1
 
0.6%
A 1
 
0.6%

설계자 전화번호
Text

MISSING 

Distinct80
Distinct (%)68.4%
Missing16
Missing (%)12.0%
Memory size1.2 KiB
2023-12-11T08:57:13.858799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.965812
Min length11

Characters and Unicode

Total characters1400
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

Unique61 ?
Unique (%)52.1%

Sample

1st row055-238-3600
2nd row055-322-7888
3rd row051-741-3999
4th row02-2177-8461
5th row055-262-6120
ValueCountFrequency (%)
055-262-6120 6
 
5.1%
055-262-6622 5
 
4.3%
055-274-2378 5
 
4.3%
055-295-1552 4
 
3.4%
055-261-0266 4
 
3.4%
055-281-1988 4
 
3.4%
055-285-2490 3
 
2.6%
070-7536-7099 3
 
2.6%
055-248-0825 2
 
1.7%
070-8670-5129 2
 
1.7%
Other values (70) 79
67.5%
2023-12-11T08:57:14.223437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 238
17.0%
- 234
16.7%
0 214
15.3%
2 176
12.6%
6 104
7.4%
1 97
6.9%
8 87
 
6.2%
7 73
 
5.2%
3 65
 
4.6%
4 56
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1166
83.3%
Dash Punctuation 234
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 238
20.4%
0 214
18.4%
2 176
15.1%
6 104
8.9%
1 97
8.3%
8 87
 
7.5%
7 73
 
6.3%
3 65
 
5.6%
4 56
 
4.8%
9 56
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 238
17.0%
- 234
16.7%
0 214
15.3%
2 176
12.6%
6 104
7.4%
1 97
6.9%
8 87
 
6.2%
7 73
 
5.2%
3 65
 
4.6%
4 56
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 238
17.0%
- 234
16.7%
0 214
15.3%
2 176
12.6%
6 104
7.4%
1 97
6.9%
8 87
 
6.2%
7 73
 
5.2%
3 65
 
4.6%
4 56
 
4.0%

Correlations

2023-12-11T08:57:14.316517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도시공자 전화번호감리사무소명감리자 전화번호설계사무소명설계자 전화번호
주용도1.0000.9360.9320.9090.9630.936
시공자 전화번호0.9361.0000.9340.9720.9530.952
감리사무소명0.9320.9341.0000.9990.9980.996
감리자 전화번호0.9090.9720.9991.0000.9960.999
설계사무소명0.9630.9530.9980.9961.0000.999
설계자 전화번호0.9360.9520.9960.9990.9991.000

Missing values

2023-12-11T08:57:07.423306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:57:07.577580image/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.
2023-12-11T08:57:07.741133image/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

대지위치주용도착공예정일실제착공일착공처리일사용승인일시공자명시공자 전화번호감리사무소명감리자 전화번호설계사무소명설계자 전화번호
0경상남도 창원시 성산구 성주동 42공장2018-06-052018-06-052018-06-052018-11-21권헌양055-288-2400(주)소마이앤씨건축사사무소055-238-3600(주)소마이앤씨건축사사무소055-238-3600
1경상남도 창원시 성산구 성산동 66 외1필지공장2018-03-302018-03-302018-04-022018-08-06구자무051-862-0311혜광건축사(사)055-322-7888혜광건축사(사)055-322-7888
2경상남도 창원시 성산구 성산동 74-1공장2018-04-162018-04-162018-04-132018-11-27이규홍055-714-7608(주)동방엔지니어링종합건축사사무소051-741-3999(주)동방엔지니어링종합건축사사무소051-741-3999
3경상남도 창원시 성산구 가음정동 391-2 외3필지공장2018-02-192018-02-192018-02-092018-09-20(주)에스앤아이코퍼레이션055-714-7620(주)창조종합건축사사무소02-2177-8461(주)창조종합건축사사무소02-2177-8461
4경상남도 창원시 진해구 자은동 136-1자동차관련시설2018-03-022018-03-022018-03-082019-02-01박도현055-296-2802이지건축사사무소055-604-2122주식회사다몬건축사사무소055-262-6120
5경상남도 창원시 성산구 성주동 24공장2018-01-042018-01-042018-01-172018-07-31김용수051-720-0110(주)간삼건축종합건축사사무소02-2250-6000(주)간삼건축종합건축사사무소02-2250-6000
6경상남도 창원시 성산구 창곡동 창곡일반산업단지 3단지공장2017-12-162017-12-162017-12-152018-08-20문재수055-286-9833청보건축사사무소055-285-2490청보건축사사무소055-285-2490
7경상남도 창원시 성산구 외동 853-11공장2018-01-052018-01-052018-01-082019-03-22이둘임<NA>삼성건축사사무소055-256-4700삼성건축사사무소055-256-4700
8경상남도 창원시 의창구 차용동 54-1 외9필지창고시설2017-11-242017-11-242017-11-242018-03-09유삼용051-987-8900성림건축사사무소<NA>성림건축사사무소<NA>
9경상남도 창원시 의창구 사림동 165-1 외1필지제1종근린생활시설2017-09-152017-09-152017-09-132019-02-15박진순,이수형053-984-0011동서건축사사무소055-277-8860건축사사무소 라인031-486-7780
대지위치주용도착공예정일실제착공일착공처리일사용승인일시공자명시공자 전화번호감리사무소명감리자 전화번호설계사무소명설계자 전화번호
123경상남도 창원시 창원시-3제2종근린생활시설2002-02-012002-02-022002-02-042002-06-21황주석<NA>광성아키월드건축사사무소<NA>광성아키월드건축사사무소<NA>
124경상남도 창원시 창원시 53-14단독주택2001-10-222001-10-232001-10-222002-03-09배준한<NA>정 건축사사무소055-762-7642정 건축사사무소055-762-7642
125경상남도 창원시 창원시 상남아파트지구단독주택<NA>2000-11-202000-11-202001-04-03김성환<NA>동인건축<NA>동인건축<NA>
126경상남도 창원시 창원시제1종근린생활시설2000-10-052000-10-052000-10-052001-07-27이복란<NA>중앙건축사사무소<NA>중앙건축사사무소<NA>
127경상남도 창원시 창원시제1종근린생활시설2000-09-27<NA>2000-09-212001-01-12배병화<NA>모든건축<NA>모든건축<NA>
128경상남도 창원시 창원시 131-12단독주택2000-09-072000-09-072000-09-062000-09-06윤선배<NA>서림건축<NA>서림건축<NA>
129경상남도 창원시 창원시 52-16단독주택2000-09-09<NA>2000-09-022001-02-09안병정<NA>코아건축<NA>청사건축<NA>
130경상남도 창원시 창원시 상남A 지구제1종근린생활시설2000-09-052000-09-022000-09-012001-02-08안미란<NA>하나건축<NA>하나건축<NA>
131경상남도 창원시 창원시제1종근린생활시설2000-08-302000-08-302000-08-282001-02-09노용택<NA>서림건축<NA>서림건축<NA>
132경상남도 창원시 창원시 70-8제1종근린생활시설<NA><NA>2000-08-252001-08-22<NA><NA><NA><NA>하나건축<NA>