Overview

Dataset statistics

Number of variables9
Number of observations482
Missing cells5
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.0 KiB
Average record size in memory74.3 B

Variable types

Numeric2
Text4
Categorical3

Dataset

Description부산광역시_해운대구_전문건설업등록현황_20210323
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15029133

Alerts

업종상태 has constant value ""Constant
지역 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:52:46.851487
Analysis finished2023-12-10 16:52:48.496441
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct482
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.5
Minimum1
Maximum482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T01:52:48.613770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.05
Q1121.25
median241.5
Q3361.75
95-th percentile457.95
Maximum482
Range481
Interquartile range (IQR)240.5

Descriptive statistics

Standard deviation139.28568
Coefficient of variation (CV)0.57675229
Kurtosis-1.2
Mean241.5
Median Absolute Deviation (MAD)120.5
Skewness0
Sum116403
Variance19400.5
MonotonicityStrictly increasing
2023-12-11T01:52:48.821437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
363 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
Other values (472) 472
97.9%
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 (%)
482 1
0.2%
481 1
0.2%
480 1
0.2%
479 1
0.2%
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
473 1
0.2%

업체명
Text

Distinct327
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T01:52:49.144260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length7.9128631
Min length2

Characters and Unicode

Total characters3814
Distinct characters282
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)45.4%

Sample

1st row(유)남진
2nd row(유)남진
3rd row(주)가온건설산업
4th row(주)거송에이앤디
5th row(주)거송에이앤디
ValueCountFrequency (%)
주)남경엔지니어링토건 7
 
1.5%
구구건설(주 6
 
1.2%
주)이화기술단 5
 
1.0%
주식회사에이비엠 5
 
1.0%
주)부원지에프씨 4
 
0.8%
주)대한기술단 4
 
0.8%
귀뚜라미보일러 4
 
0.8%
주식회사삼아에코빌 4
 
0.8%
라이프조경(주 4
 
0.8%
벽광건설(주 4
 
0.8%
Other values (317) 435
90.2%
2023-12-11T01:52:49.727100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 402
 
10.5%
) 315
 
8.3%
( 315
 
8.3%
건 156
 
4.1%
설 148
 
3.9%
이 148
 
3.9%
사 103
 
2.7%
식 82
 
2.1%
회 80
 
2.1%
경 69
 
1.8%
Other values (272) 1996
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3140
82.3%
Close Punctuation 315
 
8.3%
Open Punctuation 315
 
8.3%
Uppercase Letter 21
 
0.6%
Lowercase Letter 18
 
0.5%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 402
 
12.8%
건 156
 
5.0%
설 148
 
4.7%
이 148
 
4.7%
사 103
 
3.3%
식 82
 
2.6%
회 80
 
2.5%
경 69
 
2.2%
엔 61
 
1.9%
지 60
 
1.9%
Other values (243) 1831
58.3%
Uppercase Letter
ValueCountFrequency (%)
N 3
14.3%
G 3
14.3%
C 2
9.5%
S 2
9.5%
I 2
9.5%
E 2
9.5%
M 1
 
4.8%
D 1
 
4.8%
R 1
 
4.8%
H 1
 
4.8%
Other values (3) 3
14.3%
Lowercase Letter
ValueCountFrequency (%)
s 3
16.7%
n 3
16.7%
c 2
11.1%
o 2
11.1%
y 2
11.1%
u 2
11.1%
g 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
p 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 1
20.0%
＆ 1
20.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3140
82.3%
Common 635
 
16.6%
Latin 39
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 402
 
12.8%
건 156
 
5.0%
설 148
 
4.7%
이 148
 
4.7%
사 103
 
3.3%
식 82
 
2.6%
회 80
 
2.5%
경 69
 
2.2%
엔 61
 
1.9%
지 60
 
1.9%
Other values (243) 1831
58.3%
Latin
ValueCountFrequency (%)
N 3
 
7.7%
s 3
 
7.7%
G 3
 
7.7%
n 3
 
7.7%
C 2
 
5.1%
S 2
 
5.1%
I 2
 
5.1%
c 2
 
5.1%
o 2
 
5.1%
y 2
 
5.1%
Other values (13) 15
38.5%
Common
ValueCountFrequency (%)
) 315
49.6%
( 315
49.6%
. 2
 
0.3%
& 1
 
0.2%
＆ 1
 
0.2%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3140
82.3%
ASCII 673
 
17.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 402
 
12.8%
건 156
 
5.0%
설 148
 
4.7%
이 148
 
4.7%
사 103
 
3.3%
식 82
 
2.6%
회 80
 
2.5%
경 69
 
2.2%
엔 61
 
1.9%
지 60
 
1.9%
Other values (243) 1831
58.3%
ASCII
ValueCountFrequency (%)
) 315
46.8%
( 315
46.8%
N 3
 
0.4%
s 3
 
0.4%
G 3
 
0.4%
n 3
 
0.4%
C 2
 
0.3%
. 2
 
0.3%
S 2
 
0.3%
I 2
 
0.3%
Other values (18) 23
 
3.4%
None
ValueCountFrequency (%)
＆ 1
100.0%

업종
Categorical

Distinct24
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
실내건축공사업
79 
시설물유지관리업
45 
철근ㆍ콘크리트공사업
36 
금속구조물ㆍ창호ㆍ온실공사업
34 
상ㆍ하수도설비공사업
29 
Other values (19)
259 

Length

Max length14
Median length11
Mean length8.5995851
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실내건축공사업
2nd row금속구조물ㆍ창호ㆍ온실공사업
3rd row시설물유지관리업
4th row금속구조물ㆍ창호ㆍ온실공사업
5th row실내건축공사업

Common Values

ValueCountFrequency (%)
실내건축공사업 79
16.4%
시설물유지관리업 45
 
9.3%
철근ㆍ콘크리트공사업 36
 
7.5%
금속구조물ㆍ창호ㆍ온실공사업 34
 
7.1%
상ㆍ하수도설비공사업 29
 
6.0%
기계설비공사업 29
 
6.0%
난방시공업 제2종 25
 
5.2%
조경식재공사업 23
 
4.8%
가스시설시공업 제3종 23
 
4.8%
습식ㆍ방수공사업 23
 
4.8%
Other values (14) 136
28.2%

Length

2023-12-11T01:52:49.945481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내건축공사업 79
14.2%
시설물유지관리업 45
 
8.1%
가스시설시공업 45
 
8.1%
제2종 43
 
7.7%
철근ㆍ콘크리트공사업 36
 
6.5%
금속구조물ㆍ창호ㆍ온실공사업 34
 
6.1%
상ㆍ하수도설비공사업 29
 
5.2%
기계설비공사업 29
 
5.2%
난방시공업 28
 
5.0%
조경식재공사업 23
 
4.1%
Other values (14) 164
29.5%

업종상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
정상
482 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상
2nd row정상
3rd row정상
4th row정상
5th row정상

Common Values

ValueCountFrequency (%)
정상 482
100.0%

Length

2023-12-11T01:52:50.128706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:50.285987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 482
100.0%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
부산 해운대구
482 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산 해운대구
2nd row부산 해운대구
3rd row부산 해운대구
4th row부산 해운대구
5th row부산 해운대구

Common Values

ValueCountFrequency (%)
부산 해운대구 482
100.0%

Length

2023-12-11T01:52:50.413025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:50.540132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 482
50.0%
해운대구 482
50.0%

우편번호
Real number (ℝ)

Distinct70
Distinct (%)14.6%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean48063.367
Minimum48000
Maximum48119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T01:52:50.681141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48000
5-th percentile48014
Q148055
median48059
Q348082.25
95-th percentile48108
Maximum48119
Range119
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation25.171457
Coefficient of variation (CV)0.00052371397
Kurtosis0.14238834
Mean48063.367
Median Absolute Deviation (MAD)7.5
Skewness-0.18030497
Sum23070416
Variance633.60223
MonotonicityNot monotonic
2023-12-11T01:52:50.879071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 104
21.6%
48092 29
 
6.0%
48058 26
 
5.4%
48060 26
 
5.4%
48055 24
 
5.0%
48093 14
 
2.9%
48063 13
 
2.7%
48082 13
 
2.7%
48056 12
 
2.5%
48054 11
 
2.3%
Other values (60) 208
43.2%
ValueCountFrequency (%)
48000 5
1.0%
48001 1
 
0.2%
48002 4
 
0.8%
48004 1
 
0.2%
48005 2
 
0.4%
48006 1
 
0.2%
48008 2
 
0.4%
48010 3
 
0.6%
48012 1
 
0.2%
48014 10
2.1%
ValueCountFrequency (%)
48119 1
 
0.2%
48118 2
 
0.4%
48114 2
 
0.4%
48113 4
0.8%
48111 4
0.8%
48110 3
 
0.6%
48108 9
1.9%
48106 3
 
0.6%
48104 4
0.8%
48103 2
 
0.4%

도로명주소
Text

Distinct331
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T01:52:51.286912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length35.840249
Min length23

Characters and Unicode

Total characters17275
Distinct characters201
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

Unique228 ?
Unique (%)47.3%

Sample

1st row부산광역시 해운대구 해운대해변로 203， 818호 (우동, 오션타워)
2nd row부산광역시 해운대구 해운대해변로 203， 818호 (우동, 오션타워)
3rd row부산광역시 해운대구 마린시티3로 1 606호 (우동)
4th row부산광역시 해운대구 재반로270번길 28 3층 (반여동)
5th row부산광역시 해운대구 재반로270번길 28 3층 (반여동)
ValueCountFrequency (%)
해운대구 482
 
16.1%
부산광역시 479
 
16.0%
우동 114
 
3.8%
재송동 91
 
3.0%
센텀중앙로 59
 
2.0%
센텀동로 39
 
1.3%
60 34
 
1.1%
반여동 30
 
1.0%
99 30
 
1.0%
2층 28
 
0.9%
Other values (613) 1604
53.6%
2023-12-11T01:52:51.948766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2509
 
14.5%
대 645
 
3.7%
동 641
 
3.7%
1 623
 
3.6%
해 620
 
3.6%
운 601
 
3.5%
산 521
 
3.0%
시 520
 
3.0%
) 498
 
2.9%
( 497
 
2.9%
Other values (191) 9600
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10348
59.9%
Decimal Number 2874
 
16.6%
Space Separator 2509
 
14.5%
Close Punctuation 498
 
2.9%
Open Punctuation 497
 
2.9%
Other Punctuation 336
 
1.9%
Uppercase Letter 104
 
0.6%
Dash Punctuation 102
 
0.6%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 645
 
6.2%
동 641
 
6.2%
해 620
 
6.0%
운 601
 
5.8%
산 521
 
5.0%
시 520
 
5.0%
구 489
 
4.7%
부 483
 
4.7%
로 483
 
4.7%
광 481
 
4.6%
Other values (166) 4864
47.0%
Decimal Number
ValueCountFrequency (%)
1 623
21.7%
2 406
14.1%
0 392
13.6%
3 317
11.0%
9 234
 
8.1%
6 195
 
6.8%
7 192
 
6.7%
4 181
 
6.3%
5 177
 
6.2%
8 157
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 37
35.6%
C 21
20.2%
P 20
19.2%
E 20
19.2%
B 4
 
3.8%
K 1
 
1.0%
T 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 277
82.4%
， 58
 
17.3%
# 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2509
100.0%
Close Punctuation
ValueCountFrequency (%)
) 498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 497
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10348
59.9%
Common 6816
39.5%
Latin 111
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 645
 
6.2%
동 641
 
6.2%
해 620
 
6.0%
운 601
 
5.8%
산 521
 
5.0%
시 520
 
5.0%
구 489
 
4.7%
부 483
 
4.7%
로 483
 
4.7%
광 481
 
4.6%
Other values (166) 4864
47.0%
Common
ValueCountFrequency (%)
2509
36.8%
1 623
 
9.1%
) 498
 
7.3%
( 497
 
7.3%
2 406
 
6.0%
0 392
 
5.8%
3 317
 
4.7%
, 277
 
4.1%
9 234
 
3.4%
6 195
 
2.9%
Other values (7) 868
 
12.7%
Latin
ValueCountFrequency (%)
A 37
33.3%
C 21
18.9%
P 20
18.0%
E 20
18.0%
e 7
 
6.3%
B 4
 
3.6%
K 1
 
0.9%
T 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10348
59.9%
ASCII 6869
39.8%
None 58
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2509
36.5%
1 623
 
9.1%
) 498
 
7.2%
( 497
 
7.2%
2 406
 
5.9%
0 392
 
5.7%
3 317
 
4.6%
, 277
 
4.0%
9 234
 
3.4%
6 195
 
2.8%
Other values (14) 921
 
13.4%
Hangul
ValueCountFrequency (%)
대 645
 
6.2%
동 641
 
6.2%
해 620
 
6.0%
운 601
 
5.8%
산 521
 
5.0%
시 520
 
5.0%
구 489
 
4.7%
부 483
 
4.7%
로 483
 
4.7%
광 481
 
4.6%
Other values (166) 4864
47.0%
None
ValueCountFrequency (%)
， 58
100.0%

지번주소
Text

Distinct326
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T01:52:52.268083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length26.848548
Min length15

Characters and Unicode

Total characters12941
Distinct characters150
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

Unique220 ?
Unique (%)45.6%

Sample

1st row부산광역시 해운대구 우동 760-3 818호
2nd row부산광역시 해운대구 우동 760-3 818호
3rd row부산광역시 해운대구 우동 1434 606호
4th row부산광역시 해운대구 반여동 1592-1 3층
5th row부산광역시 해운대구 반여동 1592-1 3층
ValueCountFrequency (%)
해운대구 482
19.1%
부산광역시 405
 
16.0%
재송동 170
 
6.7%
우동 146
 
5.8%
부산 75
 
3.0%
반여동 38
 
1.5%
중동 33
 
1.3%
좌동 32
 
1.3%
29
 
1.1%
2층 26
 
1.0%
Other values (473) 1089
43.1%
2023-12-11T01:52:52.801196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2043
 
15.8%
1 874
 
6.8%
동 574
 
4.4%
산 506
 
3.9%
대 500
 
3.9%
2 499
 
3.9%
해 489
 
3.8%
운 487
 
3.8%
부 483
 
3.7%
구 482
 
3.7%
Other values (140) 6004
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6993
54.0%
Decimal Number 3363
26.0%
Space Separator 2043
 
15.8%
Dash Punctuation 304
 
2.3%
Other Punctuation 118
 
0.9%
Open Punctuation 45
 
0.3%
Close Punctuation 45
 
0.3%
Uppercase Letter 23
 
0.2%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 574
 
8.2%
산 506
 
7.2%
대 500
 
7.2%
해 489
 
7.0%
운 487
 
7.0%
부 483
 
6.9%
구 482
 
6.9%
시 408
 
5.8%
역 405
 
5.8%
광 405
 
5.8%
Other values (117) 2254
32.2%
Decimal Number
ValueCountFrequency (%)
1 874
26.0%
2 499
14.8%
0 471
14.0%
4 310
 
9.2%
3 254
 
7.6%
5 228
 
6.8%
6 199
 
5.9%
7 194
 
5.8%
9 176
 
5.2%
8 158
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 17
73.9%
B 3
 
13.0%
C 1
 
4.3%
K 1
 
4.3%
T 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 104
88.1%
， 13
 
11.0%
# 1
 
0.8%
Space Separator
ValueCountFrequency (%)
2043
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6993
54.0%
Common 5918
45.7%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 574
 
8.2%
산 506
 
7.2%
대 500
 
7.2%
해 489
 
7.0%
운 487
 
7.0%
부 483
 
6.9%
구 482
 
6.9%
시 408
 
5.8%
역 405
 
5.8%
광 405
 
5.8%
Other values (117) 2254
32.2%
Common
ValueCountFrequency (%)
2043
34.5%
1 874
14.8%
2 499
 
8.4%
0 471
 
8.0%
4 310
 
5.2%
- 304
 
5.1%
3 254
 
4.3%
5 228
 
3.9%
6 199
 
3.4%
7 194
 
3.3%
Other values (7) 542
 
9.2%
Latin
ValueCountFrequency (%)
A 17
56.7%
e 7
23.3%
B 3
 
10.0%
C 1
 
3.3%
K 1
 
3.3%
T 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6993
54.0%
ASCII 5935
45.9%
None 13
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2043
34.4%
1 874
14.7%
2 499
 
8.4%
0 471
 
7.9%
4 310
 
5.2%
- 304
 
5.1%
3 254
 
4.3%
5 228
 
3.8%
6 199
 
3.4%
7 194
 
3.3%
Other values (12) 559
 
9.4%
Hangul
ValueCountFrequency (%)
동 574
 
8.2%
산 506
 
7.2%
대 500
 
7.2%
해 489
 
7.0%
운 487
 
7.0%
부 483
 
6.9%
구 482
 
6.9%
시 408
 
5.8%
역 405
 
5.8%
광 405
 
5.8%
Other values (117) 2254
32.2%
None
ValueCountFrequency (%)
， 13
100.0%

전화번호
Text

Distinct323
Distinct (%)67.4%
Missing3
Missing (%)0.6%
Memory size3.9 KiB
2023-12-11T01:52:53.163364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010438
Min length10

Characters and Unicode

Total characters5753
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

Unique216 ?
Unique (%)45.1%

Sample

1st row051-740-5315
2nd row051-740-5315
3rd row051-746-0404
4th row051-7432-999
5th row051-7432-999
ValueCountFrequency (%)
051-740-6114 7
 
1.5%
051-333-8171 6
 
1.3%
051-524-1004 5
 
1.0%
051-759-8632 5
 
1.0%
051-746-0891 4
 
0.8%
051-628-5590 4
 
0.8%
051-526-5001 4
 
0.8%
051-702-7540 4
 
0.8%
051-804-1331 4
 
0.8%
051-715-1114 4
 
0.8%
Other values (313) 432
90.2%
2023-12-11T01:52:53.725917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 958
16.7%
0 897
15.6%
1 829
14.4%
5 816
14.2%
7 513
8.9%
4 399
6.9%
2 302
 
5.2%
8 286
 
5.0%
3 282
 
4.9%
6 250
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4795
83.3%
Dash Punctuation 958
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 897
18.7%
1 829
17.3%
5 816
17.0%
7 513
10.7%
4 399
8.3%
2 302
 
6.3%
8 286
 
6.0%
3 282
 
5.9%
6 250
 
5.2%
9 221
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 958
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5753
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 958
16.7%
0 897
15.6%
1 829
14.4%
5 816
14.2%
7 513
8.9%
4 399
6.9%
2 302
 
5.2%
8 286
 
5.0%
3 282
 
4.9%
6 250
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 958
16.7%
0 897
15.6%
1 829
14.4%
5 816
14.2%
7 513
8.9%
4 399
6.9%
2 302
 
5.2%
8 286
 
5.0%
3 282
 
4.9%
6 250
 
4.3%

Interactions

2023-12-11T01:52:47.814855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:47.535813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:47.938417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:47.650398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:52:53.854347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종우편번호
번호1.0000.3850.433
업종0.3851.0000.439
우편번호0.4330.4391.000
2023-12-11T01:52:53.994927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호업종
번호1.000-0.1350.148
우편번호-0.1351.0000.171
업종0.1480.1711.000

Missing values

2023-12-11T01:52:48.118579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:48.282202image/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.
2023-12-11T01:52:48.437069image/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

번호업체명업종업종상태지역우편번호도로명주소지번주소전화번호
01(유)남진실내건축공사업정상부산 해운대구48093부산광역시 해운대구 해운대해변로 203， 818호 (우동, 오션타워)부산광역시 해운대구 우동 760-3 818호051-740-5315
12(유)남진금속구조물ㆍ창호ㆍ온실공사업정상부산 해운대구48093부산광역시 해운대구 해운대해변로 203， 818호 (우동, 오션타워)부산광역시 해운대구 우동 760-3 818호051-740-5315
23(주)가온건설산업시설물유지관리업정상부산 해운대구48092부산광역시 해운대구 마린시티3로 1 606호 (우동)부산광역시 해운대구 우동 1434 606호051-746-0404
34(주)거송에이앤디금속구조물ㆍ창호ㆍ온실공사업정상부산 해운대구48025부산광역시 해운대구 재반로270번길 28 3층 (반여동)부산광역시 해운대구 반여동 1592-1 3층051-7432-999
45(주)거송에이앤디실내건축공사업정상부산 해운대구48025부산광역시 해운대구 재반로270번길 28 3층 (반여동)부산광역시 해운대구 반여동 1592-1 3층051-7432-999
56(주)경남종합조경건설조경식재공사업정상부산 해운대구48059부산광역시 해운대구 센텀중앙로 90, 1702호(재송동, 큐비이센텀)부산광역시 해운대구 재송동 1212 , 큐비이센텀 1702호051-513-6337
67(주)경성스틸강구조물공사업정상부산 해운대구48095부산광역시 해운대구 해운대해변로 291 1201호 (중동，크리스탈비치오피스텔)부산광역시 해운대구 중동 1394-286 1201호051-362-2214
78(주)고려엔지니어링종합건설시설물유지관리업정상부산 해운대구48058부산광역시 해운대구 센텀중앙로 97 에이동 410호(센텀스카이비즈) (재송동)부산광역시 해운대구 재송동 1208-2 에이동 410호(센텀스카이비즈)051-501-2366
89(주)공간조경조경식재공사업정상부산 해운대구48059부산광역시 해운대구 센텀동로 71, 1107호(우동, 벽산이-센텀클래스원2차)부산광역시 해운대구 우동 1454051-583-8713
910(주)공간조경조경시설물설치공사업정상부산 해운대구48059부산광역시 해운대구 센텀동로 71, 1107호(우동, 벽산이-센텀클래스원2차)부산광역시 해운대구 우동 1454051-583-8713
번호업체명업종업종상태지역우편번호도로명주소지번주소전화번호
472473주식회사디자인마인드플러스실내건축공사업정상부산 해운대구48060부산광역시 해운대구 APEC로 17 3504호 (우동)부산광역시 해운대구 우동 1514 3504호051-931-1259
473474주식회사무창건설철근ㆍ콘크리트공사업정상부산 해운대구48002부산광역시 해운대구 반송로525번길 15, 7층 705호(석대동)부산광역시 해운대구 석대동 638 , 7층 705호051-521-6309
474475주식회사미도이엔씨습식ㆍ방수공사업정상부산 해운대구48059부산광역시 해운대구 센텀6로 21 , 307호(우동, 인텔리움센텀)부산광역시 해운대구 우동 1458 , 307호051-743-6090
475476주식회사삼아에코빌습식ㆍ방수공사업정상부산 해운대구48059부산광역시 해운대구 센텀동로 99, 708호(재송동, 벽산이-센텀클래스원)부산 해운대구 재송동 1210 벽산이-센텀클레스원 708호051-628-5590
476477주식회사이앤코가스시설시공업 제1종정상부산 해운대구48060부산광역시 해운대구 센텀1로 28 102동 1401호 (우동)부산광역시 해운대구 우동 1523 102동 1401호051-925-1235
477478주식회사자우건축실내건축공사업정상부산 해운대구48060부산광역시 해운대구 APEC로 17, 1610호 (우동, 센텀리더스마크)부산광역시 해운대구 우동 1514 1610051-745-8882
478479주식회사철거다함비계ㆍ구조물해체공사업정상부산 해운대구48051부산광역시 해운대구 해운대로81번가길 41(재송동)부산광역시 해운대구 재송동 1040-13051-583-0404
479480주식회사탑방재건설철근ㆍ콘크리트공사업정상부산 해운대구48056부산광역시 해운대구 재반로 9-1 4층 (재송동)부산광역시 해운대구 재송동 658-5 4층051-782-0113
480481주식회사푸른엔지니어링가스시설시공업 제1종정상부산 해운대구48104부산광역시 해운대구 양운로 45, 에이동 201호(좌동, 해운대베르나움오피스텔)부산광역시 해운대구 좌동 1476-1 , 에이동 201호051-714-0433
481482카이건축건축사사무소주식회사시설물유지관리업정상부산 해운대구48059부산광역시 해운대구 센텀동로 71, 1003호(우동, 벽산이센텀클래스원2차)부산광역시 해운대구 우동 1454 ,1003호070-4365-3797