Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory61.4 B

Variable types

Numeric1
Text5
DateTime1

Dataset

Description전라남도 광양시 소재 건축사사무소 현황(업체명, 대표자, 주소, 전화번호)에 대한 데이터를 전 국민에게 무료로 제공
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15034625/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
건축사명 has unique valuesUnique
건축사사무소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:40:16.239867
Analysis finished2023-12-23 07:40:18.964161
Duration2.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-23T07:40:19.401271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-23T07:40:20.553131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

건축사명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-23T07:40:21.670146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters90
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row임헌윤
2nd row심우석
3rd row김강수
4th row탁기봉
5th row김창원
ValueCountFrequency (%)
임헌윤 1
 
3.3%
심우석 1
 
3.3%
김인건 1
 
3.3%
이순종 1
 
3.3%
강영록 1
 
3.3%
배수정 1
 
3.3%
이승봉 1
 
3.3%
황영호 1
 
3.3%
박종혁 1
 
3.3%
최우길 1
 
3.3%
Other values (20) 20
66.7%
2023-12-23T07:40:23.188894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
7.8%
박 6
 
6.7%
호 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
우 3
 
3.3%
강 3
 
3.3%
성 3
 
3.3%
종 3
 
3.3%
준 3
 
3.3%
Other values (42) 51
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
7.8%
박 6
 
6.7%
호 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
우 3
 
3.3%
강 3
 
3.3%
성 3
 
3.3%
종 3
 
3.3%
준 3
 
3.3%
Other values (42) 51
56.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
7.8%
박 6
 
6.7%
호 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
우 3
 
3.3%
강 3
 
3.3%
성 3
 
3.3%
종 3
 
3.3%
준 3
 
3.3%
Other values (42) 51
56.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
7.8%
박 6
 
6.7%
호 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
우 3
 
3.3%
강 3
 
3.3%
성 3
 
3.3%
종 3
 
3.3%
준 3
 
3.3%
Other values (42) 51
56.7%

건축사사무소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-23T07:40:24.092894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.5
Min length7

Characters and Unicode

Total characters285
Distinct characters62
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

Unique30 ?
Unique (%)100.0%

Sample

1st row금호건축사사무소
2nd row우성건축사사무소
3rd row(주)연우건축사사무소
4th row(그룹)S&A건축사사무소유일
5th row(그룹)S&A건축사사무소가원
ValueCountFrequency (%)
금호건축사사무소 1
 
3.2%
주)가연건축사사무소 1
 
3.2%
ain건축사사무소 1
 
3.2%
건축사사무소 1
 
3.2%
a&i 1
 
3.2%
강영록건축사사무소 1
 
3.2%
다올건축사사무소 1
 
3.2%
이담건축사사무소 1
 
3.2%
황영호건축사사무소 1
 
3.2%
바로건축사사무소 1
 
3.2%
Other values (21) 21
67.7%
2023-12-23T07:40:25.855631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 60
21.1%
건 30
 
10.5%
축 30
 
10.5%
무 30
 
10.5%
소 30
 
10.5%
( 8
 
2.8%
) 8
 
2.8%
주 6
 
2.1%
A 4
 
1.4%
가 4
 
1.4%
Other values (52) 75
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
88.8%
Uppercase Letter 12
 
4.2%
Open Punctuation 8
 
2.8%
Close Punctuation 8
 
2.8%
Other Punctuation 3
 
1.1%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 60
23.7%
건 30
11.9%
축 30
11.9%
무 30
11.9%
소 30
11.9%
주 6
 
2.4%
가 4
 
1.6%
성 3
 
1.2%
연 3
 
1.2%
합 3
 
1.2%
Other values (43) 54
21.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
33.3%
S 3
25.0%
N 2
16.7%
I 2
16.7%
U 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
88.8%
Common 20
 
7.0%
Latin 12
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 60
23.7%
건 30
11.9%
축 30
11.9%
무 30
11.9%
소 30
11.9%
주 6
 
2.4%
가 4
 
1.6%
성 3
 
1.2%
연 3
 
1.2%
합 3
 
1.2%
Other values (43) 54
21.3%
Latin
ValueCountFrequency (%)
A 4
33.3%
S 3
25.0%
N 2
16.7%
I 2
16.7%
U 1
 
8.3%
Common
ValueCountFrequency (%)
( 8
40.0%
) 8
40.0%
& 3
 
15.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
88.8%
ASCII 32
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 60
23.7%
건 30
11.9%
축 30
11.9%
무 30
11.9%
소 30
11.9%
주 6
 
2.4%
가 4
 
1.6%
성 3
 
1.2%
연 3
 
1.2%
합 3
 
1.2%
Other values (43) 54
21.3%
ASCII
ValueCountFrequency (%)
( 8
25.0%
) 8
25.0%
A 4
12.5%
S 3
 
9.4%
& 3
 
9.4%
N 2
 
6.2%
I 2
 
6.2%
U 1
 
3.1%
1
 
3.1%

소재지 주소
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-23T07:40:26.883811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.566667
Min length18

Characters and Unicode

Total characters647
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row전라남도 광양시 사동로 50(중동)
2nd row전라남도 광양시 광양읍 덕례길68
3rd row전라남도 광양시 중동2길 21(중동)
4th row전라남도 광양시 광양읍 인덕로 972, 2층
5th row전라남도 광양시 광양읍 서북3길 402, 2층
ValueCountFrequency (%)
전라남도 30
20.5%
광양시 30
20.5%
광양읍 19
13.0%
2층 8
 
5.5%
인덕로 6
 
4.1%
중마로 2
 
1.4%
서천2길 2
 
1.4%
967-1 2
 
1.4%
사동로 2
 
1.4%
50(중동 2
 
1.4%
Other values (43) 43
29.5%
2023-12-23T07:40:28.427883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
17.9%
양 50
 
7.7%
광 49
 
7.6%
남 31
 
4.8%
전 30
 
4.6%
도 30
 
4.6%
시 30
 
4.6%
라 30
 
4.6%
2 26
 
4.0%
1 24
 
3.7%
Other values (45) 231
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
60.7%
Space Separator 116
 
17.9%
Decimal Number 102
 
15.8%
Other Punctuation 10
 
1.5%
Close Punctuation 10
 
1.5%
Open Punctuation 10
 
1.5%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 50
12.7%
광 49
12.5%
남 31
 
7.9%
전 30
 
7.6%
도 30
 
7.6%
시 30
 
7.6%
라 30
 
7.6%
읍 19
 
4.8%
로 19
 
4.8%
중 15
 
3.8%
Other values (30) 90
22.9%
Decimal Number
ValueCountFrequency (%)
2 26
25.5%
1 24
23.5%
9 9
 
8.8%
0 8
 
7.8%
8 7
 
6.9%
5 7
 
6.9%
4 7
 
6.9%
3 5
 
4.9%
7 5
 
4.9%
6 4
 
3.9%
Space Separator
ValueCountFrequency (%)
116
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
60.7%
Common 254
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 50
12.7%
광 49
12.5%
남 31
 
7.9%
전 30
 
7.6%
도 30
 
7.6%
시 30
 
7.6%
라 30
 
7.6%
읍 19
 
4.8%
로 19
 
4.8%
중 15
 
3.8%
Other values (30) 90
22.9%
Common
ValueCountFrequency (%)
116
45.7%
2 26
 
10.2%
1 24
 
9.4%
, 10
 
3.9%
) 10
 
3.9%
( 10
 
3.9%
9 9
 
3.5%
0 8
 
3.1%
8 7
 
2.8%
5 7
 
2.8%
Other values (5) 27
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
60.7%
ASCII 254
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
45.7%
2 26
 
10.2%
1 24
 
9.4%
, 10
 
3.9%
) 10
 
3.9%
( 10
 
3.9%
9 9
 
3.5%
0 8
 
3.1%
8 7
 
2.8%
5 7
 
2.8%
Other values (5) 27
 
10.6%
Hangul
ValueCountFrequency (%)
양 50
12.7%
광 49
12.5%
남 31
 
7.9%
전 30
 
7.6%
도 30
 
7.6%
시 30
 
7.6%
라 30
 
7.6%
읍 19
 
4.8%
로 19
 
4.8%
중 15
 
3.8%
Other values (30) 90
22.9%

전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-23T07:40:29.379946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row061-791-5353
2nd row061-762-2122
3rd row061-791-2205
4th row061-763-5042
5th row061-763-5043
ValueCountFrequency (%)
061-791-5353 1
 
3.3%
061-762-2122 1
 
3.3%
061-913-2505 1
 
3.3%
061-792-2567 1
 
3.3%
061-761-3571 1
 
3.3%
061-763-9813 1
 
3.3%
061-762-8772 1
 
3.3%
061-761-3996 1
 
3.3%
061-795-9865 1
 
3.3%
061-792-4891 1
 
3.3%
Other values (20) 20
66.7%
2023-12-23T07:40:30.659552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
6 56
15.6%
1 54
15.0%
0 46
12.8%
7 40
11.1%
9 26
7.2%
2 21
 
5.8%
3 20
 
5.6%
5 16
 
4.4%
8 14
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 56
18.7%
1 54
18.0%
0 46
15.3%
7 40
13.3%
9 26
8.7%
2 21
 
7.0%
3 20
 
6.7%
5 16
 
5.3%
8 14
 
4.7%
4 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
6 56
15.6%
1 54
15.0%
0 46
12.8%
7 40
11.1%
9 26
7.2%
2 21
 
5.8%
3 20
 
5.6%
5 16
 
4.4%
8 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
6 56
15.6%
1 54
15.0%
0 46
12.8%
7 40
11.1%
9 26
7.2%
2 21
 
5.8%
3 20
 
5.6%
5 16
 
4.4%
8 14
 
3.9%

팩스번호
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-23T07:40:31.303078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique26 ?
Unique (%)86.7%

Sample

1st row061-791-6122
2nd row061-762-3932
3rd row061-791-2206
4th row061-763-5047
5th row061-761-5048
ValueCountFrequency (%)
061-792-4892 2
 
6.7%
061-763-9876 2
 
6.7%
061-791-6122 1
 
3.3%
061-762-7615 1
 
3.3%
061-983-0205 1
 
3.3%
061-913-0322 1
 
3.3%
061-761-3572 1
 
3.3%
061-763-9814 1
 
3.3%
061-761-3997 1
 
3.3%
061-795-9864 1
 
3.3%
Other values (18) 18
60.0%
2023-12-23T07:40:33.234762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
6 56
15.6%
1 50
13.9%
0 46
12.8%
7 39
10.8%
9 29
8.1%
3 24
 
6.7%
2 19
 
5.3%
8 16
 
4.4%
5 11
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 56
18.7%
1 50
16.7%
0 46
15.3%
7 39
13.0%
9 29
9.7%
3 24
8.0%
2 19
 
6.3%
8 16
 
5.3%
5 11
 
3.7%
4 10
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
6 56
15.6%
1 50
13.9%
0 46
12.8%
7 39
10.8%
9 29
8.1%
3 24
 
6.7%
2 19
 
5.3%
8 16
 
4.4%
5 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
6 56
15.6%
1 50
13.9%
0 46
12.8%
7 39
10.8%
9 29
8.1%
3 24
 
6.7%
2 19
 
5.3%
8 16
 
4.4%
5 11
 
3.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-12-18 00:00:00
Maximum2023-12-18 00:00:00
2023-12-23T07:40:33.930283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:40:34.520580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-23T07:40:17.473427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:40:34.812738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건축사명건축사사무소명소재지 주소전화번호팩스번호
연번1.0001.0001.0000.9631.0000.963
건축사명1.0001.0001.0001.0001.0001.000
건축사사무소명1.0001.0001.0001.0001.0001.000
소재지 주소0.9631.0001.0001.0001.0000.996
전화번호1.0001.0001.0001.0001.0001.000
팩스번호0.9631.0001.0000.9961.0001.000

Missing values

2023-12-23T07:40:17.986875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:40:18.675497image/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.

Sample

연번건축사명건축사사무소명소재지 주소전화번호팩스번호데이터기준일
01임헌윤금호건축사사무소전라남도 광양시 사동로 50(중동)061-791-5353061-791-61222023-12-18
12심우석우성건축사사무소전라남도 광양시 광양읍 덕례길68061-762-2122061-762-39322023-12-18
23김강수(주)연우건축사사무소전라남도 광양시 중동2길 21(중동)061-791-2205061-791-22062023-12-18
34탁기봉(그룹)S&A건축사사무소유일전라남도 광양시 광양읍 인덕로 972, 2층061-763-5042061-763-50472023-12-18
45김창원(그룹)S&A건축사사무소가원전라남도 광양시 광양읍 서북3길 402, 2층061-763-5043061-761-50482023-12-18
56김래수종합건축사사무소세기전라남도 광양시 광양읍 회암길24, 2층061-793-8830061-793-88312023-12-18
67박종경(주)가야건축사사무소전라남도 광양시 중마청룡길 9(중동)061-793-3911061-793-39122023-12-18
78신재관(주)연희건축사사무소전라남도 광양시 사동로 50(중동)061-794-5341061-794-53432023-12-18
89박동기가람건축사사무소전라남도 광양시 불로로 129(중동)061-791-1920061-791-19302023-12-18
910이학호(주)종합건축사사무소초석전라남도 광양시 광양읍 인덕로 1084061-761-0088061-761-00862023-12-18
연번건축사명건축사사무소명소재지 주소전화번호팩스번호데이터기준일
2021윤동준준건축사사무소전라남도 광양시 광양읍 서평로 29061-762-0616061-762-06152023-12-18
2122최우길디오건축사사무소전라남도 광양시 중마로 478(중동)061-792-4891061-792-48922023-12-18
2223박종혁바로건축사사무소전라남도 광양시 중마로 5542층061-795-9865061-795-98642023-12-18
2324황영호황영호건축사사무소전라남도 광양시 광양읍 대림오성로 154061-761-3996061-761-39972023-12-18
2425이승봉이담건축사사무소전라남도 광양시 광양읍 용강로 3, 202호061-762-8772061-792-48922023-12-18
2526배수정다올건축사사무소전라남도 광양시 광양읍 서천1길 48-2, 2층061-763-9813061-763-98142023-12-18
2627강영록강영록건축사사무소전라남도 광양시 광양읍 인덕로 958, 2층 1호061-761-3571061-761-35722023-12-18
2728이순종A&I 건축사사무소전라남도 광양시 사동로83, 2층(101호)061-792-2567061-913-03222023-12-18
2829김인건AIN건축사사무소전라남도 광양시 광양읍 서천2길11, 2층061-913-2505061-983-02052023-12-18
2930최준하디램건축사사무소전라남도 광양시 광양읍 서천2길 12-1, 2층061-761-9272061-761-92732023-12-18