Overview

Dataset statistics

Number of variables3
Number of observations523
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory25.2 B

Variable types

Numeric1
Text2

Dataset

Description부산 광역시 금정구 관내에 있는 전문건설업체에 대한 데이터 입니다. 금정구 관내의 전문건설업체의 상호명, 전문건설업체의 영업소재지에 대한 정보를 제공합니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/3055603/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:37:11.767850
Analysis finished2024-03-14 16:37:12.625754
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct523
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262
Minimum1
Maximum523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-03-15T01:37:12.917251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.1
Q1131.5
median262
Q3392.5
95-th percentile496.9
Maximum523
Range522
Interquartile range (IQR)261

Descriptive statistics

Standard deviation151.12136
Coefficient of variation (CV)0.5767991
Kurtosis-1.2
Mean262
Median Absolute Deviation (MAD)131
Skewness0
Sum137026
Variance22837.667
MonotonicityStrictly increasing
2024-03-15T01:37:13.569555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
361 1
 
0.2%
359 1
 
0.2%
358 1
 
0.2%
357 1
 
0.2%
356 1
 
0.2%
355 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
Other values (513) 513
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
523 1
0.2%
522 1
0.2%
521 1
0.2%
520 1
0.2%
519 1
0.2%
518 1
0.2%
517 1
0.2%
516 1
0.2%
515 1
0.2%
514 1
0.2%

상호
Text

Distinct400
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-15T01:37:14.624522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.4722753
Min length2

Characters and Unicode

Total characters3908
Distinct characters277
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

Unique326 ?
Unique (%)62.3%

Sample

1st row(유)새천년건설
2nd row(유)새천년건설
3rd row(유)새천년건설
4th row(유한)이레건설
5th row(주)가람디자인
ValueCountFrequency (%)
주)동아지질 7
 
1.3%
주)제일공사 6
 
1.1%
천지개발(주 6
 
1.1%
주)주일건설 6
 
1.1%
주)국제플랜트 5
 
1.0%
오케이데코(주 4
 
0.8%
덕부건설산업(주 4
 
0.8%
보명건설(주 4
 
0.8%
주)은화 4
 
0.8%
대명토건(주 4
 
0.8%
Other values (390) 473
90.4%
2024-03-15T01:37:16.098409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 437
 
11.2%
( 336
 
8.6%
) 336
 
8.6%
건 190
 
4.9%
설 187
 
4.8%
사 118
 
3.0%
회 100
 
2.6%
식 99
 
2.5%
이 83
 
2.1%
산 63
 
1.6%
Other values (267) 1959
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3205
82.0%
Open Punctuation 336
 
8.6%
Close Punctuation 336
 
8.6%
Uppercase Letter 21
 
0.5%
Decimal Number 8
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 437
 
13.6%
건 190
 
5.9%
설 187
 
5.8%
사 118
 
3.7%
회 100
 
3.1%
식 99
 
3.1%
이 83
 
2.6%
산 63
 
2.0%
업 54
 
1.7%
경 52
 
1.6%
Other values (247) 1822
56.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
14.3%
G 3
14.3%
E 3
14.3%
O 2
9.5%
R 2
9.5%
N 2
9.5%
J 1
 
4.8%
Y 1
 
4.8%
W 1
 
4.8%
V 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
4 2
25.0%
1 2
25.0%
9 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3205
82.0%
Common 682
 
17.5%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 437
 
13.6%
건 190
 
5.9%
설 187
 
5.8%
사 118
 
3.7%
회 100
 
3.1%
식 99
 
3.1%
이 83
 
2.6%
산 63
 
2.0%
업 54
 
1.7%
경 52
 
1.6%
Other values (247) 1822
56.8%
Latin
ValueCountFrequency (%)
C 3
14.3%
G 3
14.3%
E 3
14.3%
O 2
9.5%
R 2
9.5%
N 2
9.5%
J 1
 
4.8%
Y 1
 
4.8%
W 1
 
4.8%
V 1
 
4.8%
Other values (2) 2
9.5%
Common
ValueCountFrequency (%)
( 336
49.3%
) 336
49.3%
0 2
 
0.3%
4 2
 
0.3%
1 2
 
0.3%
9 2
 
0.3%
, 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3205
82.0%
ASCII 703
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 437
 
13.6%
건 190
 
5.9%
설 187
 
5.8%
사 118
 
3.7%
회 100
 
3.1%
식 99
 
3.1%
이 83
 
2.6%
산 63
 
2.0%
업 54
 
1.7%
경 52
 
1.6%
Other values (247) 1822
56.8%
ASCII
ValueCountFrequency (%)
( 336
47.8%
) 336
47.8%
C 3
 
0.4%
G 3
 
0.4%
E 3
 
0.4%
0 2
 
0.3%
4 2
 
0.3%
O 2
 
0.3%
R 2
 
0.3%
1 2
 
0.3%
Other values (10) 12
 
1.7%

영업소재지(도로명주소)
Text

Distinct391
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-15T01:37:17.212893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length28.81262
Min length19

Characters and Unicode

Total characters15069
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)60.2%

Sample

1st row부산광역시 금정구 중앙대로 2350, 2층 (노포동)
2nd row부산광역시 금정구 중앙대로 2350, 2층 (노포동)
3rd row부산광역시 금정구 중앙대로 2350, 2층 (노포동)
4th row부산광역시 금정구 동부곡로15번길 76 근린생활시설동 201호 (부곡동)
5th row부산광역시 금정구 삼어로 219 (금사동)
ValueCountFrequency (%)
금정구 523
 
17.7%
부산광역시 522
 
17.6%
남산동 94
 
3.2%
부곡동 82
 
2.8%
구서동 81
 
2.7%
2층 61
 
2.1%
장전동 47
 
1.6%
중앙대로 47
 
1.6%
금사동 35
 
1.2%
3층 31
 
1.0%
Other values (571) 1438
48.6%
2024-03-15T01:37:18.820444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2438
 
16.2%
금 709
 
4.7%
구 675
 
4.5%
부 672
 
4.5%
산 661
 
4.4%
동 622
 
4.1%
정 568
 
3.8%
시 534
 
3.5%
( 525
 
3.5%
) 525
 
3.5%
Other values (187) 7140
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8799
58.4%
Decimal Number 2446
 
16.2%
Space Separator 2438
 
16.2%
Open Punctuation 525
 
3.5%
Close Punctuation 525
 
3.5%
Other Punctuation 223
 
1.5%
Dash Punctuation 105
 
0.7%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 709
 
8.1%
구 675
 
7.7%
부 672
 
7.6%
산 661
 
7.5%
동 622
 
7.1%
정 568
 
6.5%
시 534
 
6.1%
광 524
 
6.0%
역 522
 
5.9%
로 519
 
5.9%
Other values (165) 2793
31.7%
Decimal Number
ValueCountFrequency (%)
1 495
20.2%
2 385
15.7%
3 258
10.5%
0 247
10.1%
4 230
9.4%
5 221
9.0%
6 193
 
7.9%
7 169
 
6.9%
9 162
 
6.6%
8 86
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
T 2
40.0%
D 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
m 1
33.3%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 179
80.3%
， 44
 
19.7%
Space Separator
ValueCountFrequency (%)
2438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8799
58.4%
Common 6262
41.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 709
 
8.1%
구 675
 
7.7%
부 672
 
7.6%
산 661
 
7.5%
동 622
 
7.1%
정 568
 
6.5%
시 534
 
6.1%
광 524
 
6.0%
역 522
 
5.9%
로 519
 
5.9%
Other values (165) 2793
31.7%
Common
ValueCountFrequency (%)
2438
38.9%
( 525
 
8.4%
) 525
 
8.4%
1 495
 
7.9%
2 385
 
6.1%
3 258
 
4.1%
0 247
 
3.9%
4 230
 
3.7%
5 221
 
3.5%
6 193
 
3.1%
Other values (6) 745
 
11.9%
Latin
ValueCountFrequency (%)
B 2
25.0%
T 2
25.0%
D 1
12.5%
c 1
12.5%
m 1
12.5%
d 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8799
58.4%
ASCII 6226
41.3%
None 44
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2438
39.2%
( 525
 
8.4%
) 525
 
8.4%
1 495
 
8.0%
2 385
 
6.2%
3 258
 
4.1%
0 247
 
4.0%
4 230
 
3.7%
5 221
 
3.5%
6 193
 
3.1%
Other values (11) 709
 
11.4%
Hangul
ValueCountFrequency (%)
금 709
 
8.1%
구 675
 
7.7%
부 672
 
7.6%
산 661
 
7.5%
동 622
 
7.1%
정 568
 
6.5%
시 534
 
6.1%
광 524
 
6.0%
역 522
 
5.9%
로 519
 
5.9%
Other values (165) 2793
31.7%
None
ValueCountFrequency (%)
， 44
100.0%

Interactions

2024-03-15T01:37:12.194759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T01:37:12.438692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:37:12.569664image/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

순번상호영업소재지(도로명주소)
01(유)새천년건설부산광역시 금정구 중앙대로 2350, 2층 (노포동)
12(유)새천년건설부산광역시 금정구 중앙대로 2350, 2층 (노포동)
23(유)새천년건설부산광역시 금정구 중앙대로 2350, 2층 (노포동)
34(유한)이레건설부산광역시 금정구 동부곡로15번길 76 근린생활시설동 201호 (부곡동)
45(주)가람디자인부산광역시 금정구 삼어로 219 (금사동)
56(주)가온개발부산광역시 금정구 체육공원로 631-15 (두구동)
67(주)강윤부산광역시 금정구 개좌로272번길 21-13 (회동동)
78(주)건보산업부산광역시 금정구 중앙대로 1981 (남산동)
89(주)건양산업개발부산광역시 금정구 수림로 46-10 1층 (장전동)
910(주)고센건설부산광역시 금정구 금정로 191，3층(장전동, 고센빌딩)
순번상호영업소재지(도로명주소)
513514해광설비공사부산광역시 금정구 서동로 95 (서동)
514515해든조경주식회사부산광역시 금정구 남산로 48 2층 (남산동)
515516해림건설(주)부산광역시 금정구 서부곡로 19 덕영빌딩 3층 (부곡동)
516517해림건설(주)부산광역시 금정구 서부곡로 19 덕영빌딩 3층 (부곡동)
517518현대설비부산광역시 금정구 수림로66번길 24 (장전동)
518519현대티지부산광역시 금정구 체육공원로29번길 24 (구서동)
519520화성설비부산광역시 금정구 남산로37번길 20-2 (남산동)
520521회영설비부산광역시 금정구 회천로 24 1층 (회동동)
521522효성드라이비트(주)부산광역시 금정구 오시게로 62, 505호(부곡동, 남성하이빌)
522523휘람건설(주)부산광역시 금정구 금샘로582번길 24 105호(아신빌라) (남산동)