Overview

Dataset statistics

Number of variables12
Number of observations168
Missing cells31
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory96.8 B

Variable types

Text7
Categorical1
DateTime4

Dataset

Description경상남도 창원시의 건설현장 시공정보 제공에 대한 데이터로 설계사무소명, 감리사무소명, 시공자사무소명, 대지위치 등을 제공합니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15035741/fileData.do

Alerts

시공자 전화번호 has 12 (7.1%) missing valuesMissing
감리자 전화번호 has 8 (4.8%) missing valuesMissing
설계자 전화번호 has 9 (5.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:36:11.937851
Analysis finished2023-12-12 18:36:14.302967
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct163
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T03:36:14.809190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length24.72619
Min length18

Characters and Unicode

Total characters4154
Distinct characters112
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

Unique158 ?
Unique (%)94.0%

Sample

1st row경상남도 창원시 성산구 성산동 76
2nd row경상남도 창원시 성산구 성주동 42
3rd row경상남도 창원시 의창구 팔용동 35-8
4th row경상남도 창원시 의창구 중동 778-1 외3필지
5th row경상남도 창원시 의창구 중동 776-3 외3필지
ValueCountFrequency (%)
경상남도 168
17.8%
창원시 168
17.8%
성산구 50
 
5.3%
의창구 50
 
5.3%
마산합포구 31
 
3.3%
외1필지 21
 
2.2%
마산회원구 20
 
2.1%
진해구 17
 
1.8%
팔용동 12
 
1.3%
외3필지 11
 
1.2%
Other values (251) 394
41.8%
2023-12-13T03:36:15.302593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
774
18.6%
222
 
5.3%
192
 
4.6%
182
 
4.4%
181
 
4.4%
176
 
4.2%
170
 
4.1%
170
 
4.1%
168
 
4.0%
162
 
3.9%
Other values (102) 1757
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2607
62.8%
Space Separator 774
 
18.6%
Decimal Number 642
 
15.5%
Dash Punctuation 121
 
2.9%
Uppercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
222
 
8.5%
192
 
7.4%
182
 
7.0%
181
 
6.9%
176
 
6.8%
170
 
6.5%
170
 
6.5%
168
 
6.4%
162
 
6.2%
121
 
4.6%
Other values (84) 863
33.1%
Decimal Number
ValueCountFrequency (%)
1 139
21.7%
2 91
14.2%
3 87
13.6%
5 58
9.0%
6 57
8.9%
7 57
8.9%
4 57
8.9%
9 35
 
5.5%
8 34
 
5.3%
0 27
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
774
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2607
62.8%
Common 1541
37.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
222
 
8.5%
192
 
7.4%
182
 
7.0%
181
 
6.9%
176
 
6.8%
170
 
6.5%
170
 
6.5%
168
 
6.4%
162
 
6.2%
121
 
4.6%
Other values (84) 863
33.1%
Common
ValueCountFrequency (%)
774
50.2%
1 139
 
9.0%
- 121
 
7.9%
2 91
 
5.9%
3 87
 
5.6%
5 58
 
3.8%
6 57
 
3.7%
7 57
 
3.7%
4 57
 
3.7%
9 35
 
2.3%
Other values (6) 65
 
4.2%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2607
62.8%
ASCII 1547
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
774
50.0%
1 139
 
9.0%
- 121
 
7.8%
2 91
 
5.9%
3 87
 
5.6%
5 58
 
3.7%
6 57
 
3.7%
7 57
 
3.7%
4 57
 
3.7%
9 35
 
2.3%
Other values (8) 71
 
4.6%
Hangul
ValueCountFrequency (%)
222
 
8.5%
192
 
7.4%
182
 
7.0%
181
 
6.9%
176
 
6.8%
170
 
6.5%
170
 
6.5%
168
 
6.4%
162
 
6.2%
121
 
4.6%
Other values (84) 863
33.1%

주용도
Categorical

Distinct13
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공장
36 
제1종근린생활시설
31 
업무시설
26 
공동주택
19 
의료시설
16 
Other values (8)
40 

Length

Max length9
Median length7
Mean length5.1785714
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row공장
2nd row공장
3rd row자동차관련시설
4th row제1종근린생활시설
5th row제1종근린생활시설

Common Values

ValueCountFrequency (%)
공장 36
21.4%
제1종근린생활시설 31
18.5%
업무시설 26
15.5%
공동주택 19
11.3%
의료시설 16
9.5%
제2종근린생활시설 13
 
7.7%
자동차관련시설 11
 
6.5%
교육연구시설 4
 
2.4%
숙박시설 3
 
1.8%
문화및집회시설 3
 
1.8%
Other values (3) 6
 
3.6%

Length

2023-12-13T03:36:15.612672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장 36
21.4%
제1종근린생활시설 31
18.5%
업무시설 26
15.5%
공동주택 19
11.3%
의료시설 16
9.5%
제2종근린생활시설 13
 
7.7%
자동차관련시설 11
 
6.5%
교육연구시설 4
 
2.4%
숙박시설 3
 
1.8%
문화및집회시설 3
 
1.8%
Other values (3) 6
 
3.6%
Distinct155
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1991-03-22 00:00:00
Maximum2021-02-16 00:00:00
2023-12-13T03:36:15.793770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:36:15.953321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct155
Distinct (%)92.8%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
Minimum1991-03-22 00:00:00
Maximum2021-02-16 00:00:00
2023-12-13T03:36:16.147446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:36:16.327935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct153
Distinct (%)91.6%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
Minimum1996-03-27 00:00:00
Maximum2021-02-15 00:00:00
2023-12-13T03:36:16.537033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:36:16.747656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct155
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2013-10-14 00:00:00
Maximum2022-01-28 00:00:00
2023-12-13T03:36:17.052375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:36:17.419080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct129
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T03:36:18.071936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.4047619
Min length3

Characters and Unicode

Total characters1412
Distinct characters112
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

Unique105 ?
Unique (%)62.5%

Sample

1st row(주)구룡종합건설
2nd row(주)예건
3rd row현대건설(주)
4th row에이블건설(주)
5th row광득건설(주)
ValueCountFrequency (%)
주식회사 13
 
7.1%
주)예건종합건설 5
 
2.7%
주)우영종합건설 5
 
2.7%
미래건설(주 4
 
2.2%
주)광성토건 3
 
1.6%
3
 
1.6%
재성건설(주 3
 
1.6%
주)우진종합건설 3
 
1.6%
주)한동종합건설 3
 
1.6%
주)신화종합건설 3
 
1.6%
Other values (120) 139
75.5%
2023-12-13T03:36:18.898889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
11.9%
149
 
10.6%
) 138
 
9.8%
( 137
 
9.7%
132
 
9.3%
68
 
4.8%
68
 
4.8%
29
 
2.1%
29
 
2.1%
29
 
2.1%
Other values (102) 465
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1121
79.4%
Close Punctuation 138
 
9.8%
Open Punctuation 137
 
9.7%
Space Separator 16
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
168
15.0%
149
 
13.3%
132
 
11.8%
68
 
6.1%
68
 
6.1%
29
 
2.6%
29
 
2.6%
29
 
2.6%
19
 
1.7%
19
 
1.7%
Other values (99) 411
36.7%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1121
79.4%
Common 291
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
168
15.0%
149
 
13.3%
132
 
11.8%
68
 
6.1%
68
 
6.1%
29
 
2.6%
29
 
2.6%
29
 
2.6%
19
 
1.7%
19
 
1.7%
Other values (99) 411
36.7%
Common
ValueCountFrequency (%)
) 138
47.4%
( 137
47.1%
16
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1121
79.4%
ASCII 291
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
168
15.0%
149
 
13.3%
132
 
11.8%
68
 
6.1%
68
 
6.1%
29
 
2.6%
29
 
2.6%
29
 
2.6%
19
 
1.7%
19
 
1.7%
Other values (99) 411
36.7%
ASCII
ValueCountFrequency (%)
) 138
47.4%
( 137
47.1%
16
 
5.5%
Distinct112
Distinct (%)71.8%
Missing12
Missing (%)7.1%
Memory size1.4 KiB
2023-12-13T03:36:19.360103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.929487
Min length9

Characters and Unicode

Total characters1861
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

Unique90 ?
Unique (%)57.7%

Sample

1st row055-328-1197
2nd row055-288-2400
3rd row1577-7755
4th row055-267-8900
5th row055-273-7394
ValueCountFrequency (%)
055-288-2400 10
 
6.4%
055-265-7051 4
 
2.6%
055-253-3396 4
 
2.6%
055-273-8400 4
 
2.6%
055-266-1661 3
 
1.9%
051-804-7123 3
 
1.9%
055-289-9100 3
 
1.9%
055-293-8118 3
 
1.9%
055-261-7000 3
 
1.9%
055-291-0178 3
 
1.9%
Other values (102) 116
74.4%
2023-12-13T03:36:20.094241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 319
17.1%
0 318
17.1%
- 310
16.7%
2 182
9.8%
1 134
7.2%
3 127
 
6.8%
7 107
 
5.7%
8 103
 
5.5%
6 102
 
5.5%
4 84
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1551
83.3%
Dash Punctuation 310
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 319
20.6%
0 318
20.5%
2 182
11.7%
1 134
8.6%
3 127
 
8.2%
7 107
 
6.9%
8 103
 
6.6%
6 102
 
6.6%
4 84
 
5.4%
9 75
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1861
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 319
17.1%
0 318
17.1%
- 310
16.7%
2 182
9.8%
1 134
7.2%
3 127
 
6.8%
7 107
 
5.7%
8 103
 
5.5%
6 102
 
5.5%
4 84
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 319
17.1%
0 318
17.1%
- 310
16.7%
2 182
9.8%
1 134
7.2%
3 127
 
6.8%
7 107
 
5.7%
8 103
 
5.5%
6 102
 
5.5%
4 84
 
4.5%
Distinct110
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T03:36:20.575804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.60119
Min length7

Characters and Unicode

Total characters1949
Distinct characters121
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)47.6%

Sample

1st row(주)창조종합건축사사무소
2nd row서림건축사사무소
3rd row(주)건축사사무소 광장
4th row시건축사사무소
5th row(주)마루엔지니어링건축사사무소
ValueCountFrequency (%)
건축사사무소 15
 
7.7%
주)유엔에이건축사사무소 11
 
5.7%
주)해동설계종합건축사사무소 6
 
3.1%
주식회사다몬건축사사무소 6
 
3.1%
동인 5
 
2.6%
주)종합건축사사무소 5
 
2.6%
주)나우건축사사무소 4
 
2.1%
주)창조종합건축사사무소 4
 
2.1%
주)중인건축사사무소 3
 
1.5%
주)삼우씨엠건축사사무소 3
 
1.5%
Other values (105) 132
68.0%
2023-12-13T03:36:21.413035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
17.7%
182
 
9.3%
178
 
9.1%
161
 
8.3%
161
 
8.3%
97
 
5.0%
( 95
 
4.9%
) 95
 
4.9%
40
 
2.1%
40
 
2.1%
Other values (111) 555
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1724
88.5%
Open Punctuation 95
 
4.9%
Close Punctuation 95
 
4.9%
Space Separator 27
 
1.4%
Other Punctuation 2
 
0.1%
Other Symbol 2
 
0.1%
Decimal Number 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
345
20.0%
182
 
10.6%
178
 
10.3%
161
 
9.3%
161
 
9.3%
97
 
5.6%
40
 
2.3%
40
 
2.3%
27
 
1.6%
26
 
1.5%
Other values (102) 467
27.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1726
88.6%
Common 221
 
11.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
345
20.0%
182
 
10.5%
178
 
10.3%
161
 
9.3%
161
 
9.3%
97
 
5.6%
40
 
2.3%
40
 
2.3%
27
 
1.6%
26
 
1.5%
Other values (103) 469
27.2%
Common
ValueCountFrequency (%)
( 95
43.0%
) 95
43.0%
27
 
12.2%
. 2
 
0.9%
2 1
 
0.5%
1 1
 
0.5%
Latin
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1724
88.5%
ASCII 223
 
11.4%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
345
20.0%
182
 
10.6%
178
 
10.3%
161
 
9.3%
161
 
9.3%
97
 
5.6%
40
 
2.3%
40
 
2.3%
27
 
1.6%
26
 
1.5%
Other values (102) 467
27.1%
ASCII
ValueCountFrequency (%)
( 95
42.6%
) 95
42.6%
27
 
12.1%
. 2
 
0.9%
2 1
 
0.4%
1 1
 
0.4%
D 1
 
0.4%
A 1
 
0.4%
None
ValueCountFrequency (%)
2
100.0%
Distinct94
Distinct (%)58.8%
Missing8
Missing (%)4.8%
Memory size1.4 KiB
2023-12-13T03:36:21.944452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.99375
Min length11

Characters and Unicode

Total characters1919
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

Unique63 ?
Unique (%)39.4%

Sample

1st row02-2177-8300
2nd row055-273-8686
3rd row031-898-3535
4th row055-263-2226
5th row055-237-8600
ValueCountFrequency (%)
055-262-6622 10
 
6.2%
055-284-8444 6
 
3.8%
055-262-6120 6
 
3.8%
055-261-0266 5
 
3.1%
055-281-1988 5
 
3.1%
055-273-8686 4
 
2.5%
055-237-8600 4
 
2.5%
055-274-2378 4
 
2.5%
055-295-1552 4
 
2.5%
051-291-0003 3
 
1.9%
Other values (84) 109
68.1%
2023-12-13T03:36:23.206282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 320
16.7%
5 317
16.5%
0 292
15.2%
2 259
13.5%
6 160
8.3%
8 118
 
6.1%
1 110
 
5.7%
3 101
 
5.3%
4 92
 
4.8%
7 89
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1599
83.3%
Dash Punctuation 320
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 317
19.8%
0 292
18.3%
2 259
16.2%
6 160
10.0%
8 118
 
7.4%
1 110
 
6.9%
3 101
 
6.3%
4 92
 
5.8%
7 89
 
5.6%
9 61
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 320
16.7%
5 317
16.5%
0 292
15.2%
2 259
13.5%
6 160
8.3%
8 118
 
6.1%
1 110
 
5.7%
3 101
 
5.3%
4 92
 
4.8%
7 89
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 320
16.7%
5 317
16.5%
0 292
15.2%
2 259
13.5%
6 160
8.3%
8 118
 
6.1%
1 110
 
5.7%
3 101
 
5.3%
4 92
 
4.8%
7 89
 
4.6%
Distinct112
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T03:36:23.781286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length11.744048
Min length7

Characters and Unicode

Total characters1973
Distinct characters125
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

Unique83 ?
Unique (%)49.4%

Sample

1st row(주)창조종합건축사사무소
2nd row서림건축사사무소
3rd row(주)씨드알에스 건축사사무소
4th row시건축사사무소
5th row(주)마루엔지니어링건축사사무소
ValueCountFrequency (%)
건축사사무소 14
 
7.3%
주)유엔에이건축사사무소 9
 
4.7%
주식회사다몬건축사사무소 9
 
4.7%
주)종합건축사사무소 5
 
2.6%
동인 5
 
2.6%
주)마루엔지니어링건축사사무소 4
 
2.1%
주)창조종합건축사사무소 4
 
2.1%
종합건축사사무소 4
 
2.1%
주)중인건축사사무소 3
 
1.6%
공건축사(사 3
 
1.6%
Other values (105) 133
68.9%
2023-12-13T03:36:24.770982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
17.8%
182
 
9.2%
180
 
9.1%
160
 
8.1%
159
 
8.1%
101
 
5.1%
( 94
 
4.8%
) 94
 
4.8%
46
 
2.3%
46
 
2.3%
Other values (115) 560
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1752
88.8%
Open Punctuation 94
 
4.8%
Close Punctuation 94
 
4.8%
Space Separator 26
 
1.3%
Decimal Number 4
 
0.2%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
351
20.0%
182
 
10.4%
180
 
10.3%
160
 
9.1%
159
 
9.1%
101
 
5.8%
46
 
2.6%
46
 
2.6%
28
 
1.6%
24
 
1.4%
Other values (107) 475
27.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
D 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1752
88.8%
Common 219
 
11.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
351
20.0%
182
 
10.4%
180
 
10.3%
160
 
9.1%
159
 
9.1%
101
 
5.8%
46
 
2.6%
46
 
2.6%
28
 
1.6%
24
 
1.4%
Other values (107) 475
27.1%
Common
ValueCountFrequency (%)
( 94
42.9%
) 94
42.9%
26
 
11.9%
2 2
 
0.9%
1 2
 
0.9%
. 1
 
0.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1752
88.8%
ASCII 221
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
351
20.0%
182
 
10.4%
180
 
10.3%
160
 
9.1%
159
 
9.1%
101
 
5.8%
46
 
2.6%
46
 
2.6%
28
 
1.6%
24
 
1.4%
Other values (107) 475
27.1%
ASCII
ValueCountFrequency (%)
( 94
42.5%
) 94
42.5%
26
 
11.8%
2 2
 
0.9%
1 2
 
0.9%
A 1
 
0.5%
. 1
 
0.5%
D 1
 
0.5%
Distinct97
Distinct (%)61.0%
Missing9
Missing (%)5.4%
Memory size1.4 KiB
2023-12-13T03:36:25.387419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.943396
Min length11

Characters and Unicode

Total characters1899
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 (%)42.8%

Sample

1st row02-2177-8367
2nd row055-273-8686
3rd row02-518-3454
4th row055-263-2226
5th row055-237-8600
ValueCountFrequency (%)
055-262-6622 9
 
5.7%
055-262-6120 9
 
5.7%
055-274-2378 5
 
3.1%
055-237-8600 5
 
3.1%
055-281-1988 5
 
3.1%
055-295-1552 4
 
2.5%
055-273-8686 4
 
2.5%
055-261-0266 4
 
2.5%
02-2250-6000 3
 
1.9%
055-285-2490 3
 
1.9%
Other values (87) 108
67.9%
2023-12-13T03:36:26.496823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 322
17.0%
- 318
16.7%
0 284
15.0%
2 249
13.1%
6 148
7.8%
8 118
 
6.2%
1 110
 
5.8%
7 103
 
5.4%
3 93
 
4.9%
4 87
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1581
83.3%
Dash Punctuation 318
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 322
20.4%
0 284
18.0%
2 249
15.7%
6 148
9.4%
8 118
 
7.5%
1 110
 
7.0%
7 103
 
6.5%
3 93
 
5.9%
4 87
 
5.5%
9 67
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1899
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 322
17.0%
- 318
16.7%
0 284
15.0%
2 249
13.1%
6 148
7.8%
8 118
 
6.2%
1 110
 
5.8%
7 103
 
5.4%
3 93
 
4.9%
4 87
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 322
17.0%
- 318
16.7%
0 284
15.0%
2 249
13.1%
6 148
7.8%
8 118
 
6.2%
1 110
 
5.8%
7 103
 
5.4%
3 93
 
4.9%
4 87
 
4.6%

Correlations

2023-12-13T03:36:26.702982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도감리자 전화번호설계자 전화번호
주용도1.0000.6880.899
감리자 전화번호0.6881.0000.999
설계자 전화번호0.8990.9991.000

Missing values

2023-12-13T03:36:13.702772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:36:14.013004image/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.
2023-12-13T03:36:14.212390image/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 성산동 76공장2021-02-162021-02-162021-02-152022-01-10(주)구룡종합건설055-328-1197(주)창조종합건축사사무소02-2177-8300(주)창조종합건축사사무소02-2177-8367
1경상남도 창원시 성산구 성주동 42공장2021-02-042021-02-032021-02-032021-07-09(주)예건055-288-2400서림건축사사무소055-273-8686서림건축사사무소055-273-8686
2경상남도 창원시 의창구 팔용동 35-8자동차관련시설2020-04-052020-04-162020-04-162021-05-24현대건설(주)1577-7755(주)건축사사무소 광장031-898-3535(주)씨드알에스 건축사사무소02-518-3454
3경상남도 창원시 의창구 중동 778-1 외3필지제1종근린생활시설2020-03-172020-03-262020-03-262021-05-21에이블건설(주)055-267-8900시건축사사무소055-263-2226시건축사사무소055-263-2226
4경상남도 창원시 의창구 중동 776-3 외3필지제1종근린생활시설2020-04-012020-04-132020-04-132021-04-29광득건설(주)055-273-7394(주)마루엔지니어링건축사사무소055-237-8600(주)마루엔지니어링건축사사무소055-237-8600
5경상남도 창원시 의창구 팔용동 22-1공장2020-03-202020-03-202020-04-172020-12-24지케이종합건설(주)055-334-0062성진건축사사무소055-242-3883성진건축사사무소055-242-3883
6경상남도 창원시 의창구 사림동 165-14업무시설2020-01-282020-01-232020-01-232021-05-24(주)우영종합건설055-265-7051주식회사다몬건축사사무소055-262-6120주식회사다몬건축사사무소055-262-6120
7경상남도 창원시 의창구 중동 776-1업무시설2019-12-162019-12-162019-12-172020-11-06(주)우영종합건설055-265-7051주식회사다몬건축사사무소055-262-6120주식회사다몬건축사사무소055-262-6120
8경상남도 창원시 마산회원구 양덕동 84-8자동차관련시설2019-11-222019-11-222019-12-062021-01-11중앙건설주식회사055-243-3390(주)마루엔지니어링건축사사무소055-237-8600(주)마루엔지니어링건축사사무소055-237-8600
9경상남도 창원시 의창구 팔용동 41-1공장2019-11-262019-11-262019-12-062020-11-13동영종합건설(주)055-237-0084(주)종합건축사사무소 동인055-281-1988(주)종합건축사사무소 동인055-281-1988
대지위치주용도착공예정일실제착공일착공처리일사용승인일시공자명시공자 전화번호감리사무소명감리자 전화번호설계사무소명설계자 전화번호
158경상남도 창원시 마산합포구 월남동5가 8공동주택2015-04-022015-02-012015-04-012017-12-20(주)동부토건055-313-0200(주)지오건축사사무소055-261-0266(주)지오건축사사무소055-261-0266
159경상남도 창원시 성산구 중앙동 96-3업무시설2012-11-012012-11-012012-10-302015-01-30주식회사 길민051-582-6015(주)다움건축종합건축사사무소051-731-0061(주)다움건축종합건축사사무소051-731-0061
160경상남도 창원시 성산구 상남동 75-2업무시설2013-02-012013-02-012013-02-072016-06-23중앙건설(주)055-243-6096아담건축사(사)055-853-4404아담건축사(사)055-853-4404
161경상남도 창원시 마산회원구 내서읍 호계리 산 48-4 외1필지의료시설2016-03-252016-04-042016-03-242017-10-25제현건설주식회사055-723-3090(주)나우건축사사무소055-261-0266(주)나우건축사사무소055-261-0266
162경상남도 창원시 진해구 속천동 7공동주택2012-07-122012-07-112012-07-112015-05-22유진종합건설(주)055-266-2190(주)도건건축사사무소051-462-3162(주)도건건축사사무소051-462-3162
163경상남도 창원시 성산구 중앙동 99-2업무시설2014-06-142014-06-162014-06-162016-11-16중앙건설주식회사055-243-3390(주)유엔에이건축사사무소055-262-6622(주)희림종합건축사사무소02-3410-9000
164경상남도 창원시 성산구 귀곡동 555 외6필지공장2011-08-082011-08-082011-08-092017-11-27(주)대창055-288-5001엠에이피한터인종합건축사사무소02-520-9336건축사사무소기단055-292-7337
165경상남도 창원시 의창구 소계동 130-136 외1필지의료시설2012-07-272012-07-252012-07-252013-10-14(주)동아토건032-872-0472현진건축사사무소032-468-2258현진건축사사무소032-468-2258
166경상남도 창원시 의창구 서상동 213-2 외1필지공동주택1996-03-261996-03-261996-03-272019-11-13전인종합건설(주)<NA>대방종합건축사사무소<NA>대방종합건축사사무소055-87-5245
167경상남도 창원시 성산구 가음정동 391-9업무시설1991-03-221991-03-22<NA>2020-02-19벽산엔지니어링(주)<NA>(주)다몬건축사사무소<NA>건축사사무소드림055-261-0552