Overview

Dataset statistics

Number of variables9
Number of observations530
Missing cells11
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.4 KiB
Average record size in memory74.2 B

Variable types

Numeric2
Text4
Categorical3

Dataset

Description부산광역시_해운대구_전문건설업등록현황_20221019
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
우편번호 has 9 (1.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:52:38.007261
Analysis finished2023-12-10 16:52:39.491223
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct530
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265.5
Minimum1
Maximum530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-11T01:52:39.573231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.45
Q1133.25
median265.5
Q3397.75
95-th percentile503.55
Maximum530
Range529
Interquartile range (IQR)264.5

Descriptive statistics

Standard deviation153.14209
Coefficient of variation (CV)0.57680637
Kurtosis-1.2
Mean265.5
Median Absolute Deviation (MAD)132.5
Skewness0
Sum140715
Variance23452.5
MonotonicityStrictly increasing
2023-12-11T01:52:39.725072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
350 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
359 1
 
0.2%
358 1
 
0.2%
357 1
 
0.2%
Other values (520) 520
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 (%)
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%
524 1
0.2%
523 1
0.2%
522 1
0.2%
521 1
0.2%

업체명
Text

Distinct380
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T01:52:39.984183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length17
Mean length7.8867925
Min length2

Characters and Unicode

Total characters4180
Distinct characters299
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)53.6%

Sample

1st row(유)남진
2nd row(주)가온건설산업
3rd row(주)가온건설산업
4th row(주)거대마루
5th row(주)거송에이앤디
ValueCountFrequency (%)
주)네오그린 8
 
1.5%
주)초록종합건설 5
 
0.9%
주)남경엔지니어링토건 5
 
0.9%
수석건설(주 4
 
0.8%
주식회사삼아에코빌 4
 
0.8%
주)청연이엔씨 4
 
0.8%
구구건설(주 4
 
0.8%
주)대한기술단 4
 
0.8%
주)이화기술단 4
 
0.8%
주)부경프라임건설 4
 
0.8%
Other values (370) 484
91.3%
2023-12-11T01:52:40.399193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 452
 
10.8%
( 377
 
9.0%
) 377
 
9.0%
건 171
 
4.1%
설 164
 
3.9%
이 151
 
3.6%
사 86
 
2.1%
식 71
 
1.7%
회 70
 
1.7%
디 68
 
1.6%
Other values (289) 2193
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3368
80.6%
Open Punctuation 377
 
9.0%
Close Punctuation 377
 
9.0%
Lowercase Letter 27
 
0.6%
Uppercase Letter 22
 
0.5%
Other Punctuation 6
 
0.1%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 452
 
13.4%
건 171
 
5.1%
설 164
 
4.9%
이 151
 
4.5%
사 86
 
2.6%
식 71
 
2.1%
회 70
 
2.1%
디 68
 
2.0%
엔 65
 
1.9%
씨 62
 
1.8%
Other values (257) 2008
59.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
13.6%
N 3
13.6%
I 2
9.1%
T 2
9.1%
G 2
9.1%
E 2
9.1%
D 2
9.1%
M 1
 
4.5%
C 1
 
4.5%
R 1
 
4.5%
Other values (3) 3
13.6%
Lowercase Letter
ValueCountFrequency (%)
s 4
14.8%
n 4
14.8%
o 3
11.1%
y 3
11.1%
t 2
7.4%
c 2
7.4%
r 2
7.4%
u 2
7.4%
g 2
7.4%
i 1
 
3.7%
Other values (2) 2
7.4%
Other Punctuation
ValueCountFrequency (%)
. 2
33.3%
& 2
33.3%
, 1
16.7%
＆ 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 377
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3371
80.6%
Common 760
 
18.2%
Latin 49
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 452
 
13.4%
건 171
 
5.1%
설 164
 
4.9%
이 151
 
4.5%
사 86
 
2.6%
식 71
 
2.1%
회 70
 
2.1%
디 68
 
2.0%
엔 65
 
1.9%
씨 62
 
1.8%
Other values (258) 2011
59.7%
Latin
ValueCountFrequency (%)
s 4
 
8.2%
n 4
 
8.2%
S 3
 
6.1%
N 3
 
6.1%
o 3
 
6.1%
y 3
 
6.1%
I 2
 
4.1%
t 2
 
4.1%
T 2
 
4.1%
c 2
 
4.1%
Other values (15) 21
42.9%
Common
ValueCountFrequency (%)
( 377
49.6%
) 377
49.6%
. 2
 
0.3%
& 2
 
0.3%
, 1
 
0.1%
＆ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3368
80.6%
ASCII 808
 
19.3%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 452
 
13.4%
건 171
 
5.1%
설 164
 
4.9%
이 151
 
4.5%
사 86
 
2.6%
식 71
 
2.1%
회 70
 
2.1%
디 68
 
2.0%
엔 65
 
1.9%
씨 62
 
1.8%
Other values (257) 2008
59.6%
ASCII
ValueCountFrequency (%)
( 377
46.7%
) 377
46.7%
s 4
 
0.5%
n 4
 
0.5%
S 3
 
0.4%
N 3
 
0.4%
o 3
 
0.4%
y 3
 
0.4%
I 2
 
0.2%
t 2
 
0.2%
Other values (20) 30
 
3.7%
None
ValueCountFrequency (%)
㈜ 3
75.0%
＆ 1
 
25.0%

업종
Categorical

Distinct20
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
실내건축공사업
103 
가스난방공사업
58 
시설물유지관리업
51 
도장ㆍ습식ㆍ방수ㆍ석공사업
43 
철근ㆍ콘크리트공사업
42 
Other values (15)
233 

Length

Max length15
Median length13
Mean length9.4433962
Min length5

Unique

Unique5 ?
Unique (%)0.9%

Sample

1st row실내건축공사업
2nd row시설물유지관리업
3rd row지반조성ㆍ포장공사업
4th row실내건축공사업
5th row금속창호ㆍ지붕건축물조립공사업

Common Values

ValueCountFrequency (%)
실내건축공사업 103
19.4%
가스난방공사업 58
10.9%
시설물유지관리업 51
9.6%
도장ㆍ습식ㆍ방수ㆍ석공사업 43
8.1%
철근ㆍ콘크리트공사업 42
7.9%
금속창호ㆍ지붕건축물조립공사업 40
 
7.5%
지반조성ㆍ포장공사업 38
 
7.2%
기계가스설비공사업 36
 
6.8%
상ㆍ하수도설비공사업 34
 
6.4%
조경식재ㆍ시설물공사업 29
 
5.5%
Other values (10) 56
10.6%

Length

2023-12-11T01:52:40.557726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내건축공사업 103
19.3%
가스난방공사업 58
10.9%
시설물유지관리업 51
9.6%
도장ㆍ습식ㆍ방수ㆍ석공사업 43
8.1%
철근ㆍ콘크리트공사업 42
7.9%
금속창호ㆍ지붕건축물조립공사업 40
 
7.5%
지반조성ㆍ포장공사업 38
 
7.1%
기계가스설비공사업 36
 
6.8%
상ㆍ하수도설비공사업 34
 
6.4%
조경식재ㆍ시설물공사업 29
 
5.4%
Other values (11) 59
11.1%

업종상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
정상
530 

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 530
100.0%

Length

2023-12-11T01:52:40.718699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:40.856496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 530
100.0%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
부산 해운대구
530 

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 530
100.0%

Length

2023-12-11T01:52:40.973802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:41.072737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 530
50.0%
해운대구 530
50.0%

우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)15.2%
Missing9
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean48064.353
Minimum48000
Maximum48120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-11T01:52:41.493347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48000
5-th percentile48014
Q148055
median48059
Q348088
95-th percentile48108
Maximum48120
Range120
Interquartile range (IQR)33

Descriptive statistics

Standard deviation26.001369
Coefficient of variation (CV)0.00054096991
Kurtosis0.0084126556
Mean48064.353
Median Absolute Deviation (MAD)10
Skewness-0.17932008
Sum25041528
Variance676.07119
MonotonicityNot monotonic
2023-12-11T01:52:41.744409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 104
19.6%
48060 37
 
7.0%
48092 31
 
5.8%
48055 28
 
5.3%
48093 25
 
4.7%
48058 16
 
3.0%
48063 15
 
2.8%
48034 13
 
2.5%
48045 12
 
2.3%
48106 12
 
2.3%
Other values (69) 228
43.0%
ValueCountFrequency (%)
48000 7
1.3%
48001 2
 
0.4%
48002 4
0.8%
48004 2
 
0.4%
48005 1
 
0.2%
48006 2
 
0.4%
48008 3
0.6%
48010 2
 
0.4%
48011 1
 
0.2%
48012 1
 
0.2%
ValueCountFrequency (%)
48120 1
 
0.2%
48119 1
 
0.2%
48118 2
 
0.4%
48117 1
 
0.2%
48114 2
 
0.4%
48113 3
 
0.6%
48111 5
0.9%
48110 4
 
0.8%
48108 9
1.7%
48106 12
2.3%

도로명주소
Text

Distinct375
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T01:52:42.143498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length36.324528
Min length21

Characters and Unicode

Total characters19252
Distinct characters214
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

Unique281 ?
Unique (%)53.0%

Sample

1st row부산광역시 해운대구 해운대해변로 203， 818호 (우동, 오션타워)
2nd row부산광역시 해운대구 마린시티3로 1, 606호(우동, 선프라자)
3rd row부산광역시 해운대구 마린시티3로 1, 606호(우동, 선프라자)
4th row부산광역시 해운대구 해운대로 1174 (송정동)
5th row부산광역시 해운대구 재반로270번길 28, 3층 (반여동)
ValueCountFrequency (%)
부산광역시 530
 
16.2%
해운대구 530
 
16.2%
우동 102
 
3.1%
재송동 70
 
2.1%
센텀중앙로 54
 
1.7%
센텀동로 40
 
1.2%
35
 
1.1%
반여동 32
 
1.0%
99 32
 
1.0%
마린시티3로 30
 
0.9%
Other values (695) 1811
55.5%
2023-12-11T01:52:42.695793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2736
 
14.2%
1 721
 
3.7%
대 704
 
3.7%
동 692
 
3.6%
해 687
 
3.6%
운 673
 
3.5%
시 577
 
3.0%
산 571
 
3.0%
( 539
 
2.8%
구 539
 
2.8%
Other values (204) 10813
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11402
59.2%
Decimal Number 3268
 
17.0%
Space Separator 2736
 
14.2%
Open Punctuation 539
 
2.8%
Close Punctuation 537
 
2.8%
Other Punctuation 510
 
2.6%
Dash Punctuation 128
 
0.7%
Uppercase Letter 126
 
0.7%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 704
 
6.2%
동 692
 
6.1%
해 687
 
6.0%
운 673
 
5.9%
시 577
 
5.1%
산 571
 
5.0%
구 539
 
4.7%
광 533
 
4.7%
부 531
 
4.7%
역 530
 
4.6%
Other values (177) 5365
47.1%
Decimal Number
ValueCountFrequency (%)
1 721
22.1%
2 482
14.7%
0 448
13.7%
3 337
10.3%
9 244
 
7.5%
7 225
 
6.9%
6 219
 
6.7%
4 208
 
6.4%
5 199
 
6.1%
8 185
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 35
27.8%
C 29
23.0%
P 28
22.2%
E 28
22.2%
B 3
 
2.4%
K 1
 
0.8%
T 1
 
0.8%
S 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 400
78.4%
， 108
 
21.2%
# 1
 
0.2%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11402
59.2%
Common 7718
40.1%
Latin 132
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 704
 
6.2%
동 692
 
6.1%
해 687
 
6.0%
운 673
 
5.9%
시 577
 
5.1%
산 571
 
5.0%
구 539
 
4.7%
광 533
 
4.7%
부 531
 
4.7%
역 530
 
4.6%
Other values (177) 5365
47.1%
Common
ValueCountFrequency (%)
2736
35.4%
1 721
 
9.3%
( 539
 
7.0%
) 537
 
7.0%
2 482
 
6.2%
0 448
 
5.8%
, 400
 
5.2%
3 337
 
4.4%
9 244
 
3.2%
7 225
 
2.9%
Other values (8) 1049
 
13.6%
Latin
ValueCountFrequency (%)
A 35
26.5%
C 29
22.0%
P 28
21.2%
E 28
21.2%
e 6
 
4.5%
B 3
 
2.3%
K 1
 
0.8%
T 1
 
0.8%
S 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11402
59.2%
ASCII 7742
40.2%
None 108
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2736
35.3%
1 721
 
9.3%
( 539
 
7.0%
) 537
 
6.9%
2 482
 
6.2%
0 448
 
5.8%
, 400
 
5.2%
3 337
 
4.4%
9 244
 
3.2%
7 225
 
2.9%
Other values (16) 1073
 
13.9%
Hangul
ValueCountFrequency (%)
대 704
 
6.2%
동 692
 
6.1%
해 687
 
6.0%
운 673
 
5.9%
시 577
 
5.1%
산 571
 
5.0%
구 539
 
4.7%
광 533
 
4.7%
부 531
 
4.7%
역 530
 
4.6%
Other values (177) 5365
47.1%
None
ValueCountFrequency (%)
， 108
100.0%

지번주소
Text

Distinct372
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T01:52:43.073236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length26.715094
Min length15

Characters and Unicode

Total characters14159
Distinct characters156
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

Unique276 ?
Unique (%)52.1%

Sample

1st row부산광역시 해운대구 우동 760-3 818호
2nd row부산광역시 해운대구 우동 1434 , 606호
3rd row부산광역시 해운대구 우동 1434 , 606호
4th row부산광역시 해운대구 송정동 115-1
5th row부산광역시 해운대구 반여동 1592-1 3층
ValueCountFrequency (%)
해운대구 530
19.1%
부산광역시 468
16.9%
우동 171
 
6.2%
재송동 166
 
6.0%
부산 61
 
2.2%
56
 
2.0%
반여동 53
 
1.9%
좌동 45
 
1.6%
2층 32
 
1.2%
중동 29
 
1.0%
Other values (525) 1166
42.0%
2023-12-11T01:52:43.585022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2247
 
15.9%
1 998
 
7.0%
동 636
 
4.5%
대 552
 
3.9%
산 550
 
3.9%
운 539
 
3.8%
해 539
 
3.8%
부 531
 
3.8%
구 530
 
3.7%
2 528
 
3.7%
Other values (146) 6509
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7589
53.6%
Decimal Number 3668
25.9%
Space Separator 2247
 
15.9%
Dash Punctuation 335
 
2.4%
Other Punctuation 186
 
1.3%
Open Punctuation 58
 
0.4%
Close Punctuation 57
 
0.4%
Uppercase Letter 13
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 636
 
8.4%
대 552
 
7.3%
산 550
 
7.2%
운 539
 
7.1%
해 539
 
7.1%
부 531
 
7.0%
구 530
 
7.0%
시 470
 
6.2%
역 468
 
6.2%
광 468
 
6.2%
Other values (121) 2306
30.4%
Decimal Number
ValueCountFrequency (%)
1 998
27.2%
2 528
14.4%
0 483
13.2%
4 345
 
9.4%
3 267
 
7.3%
5 250
 
6.8%
6 232
 
6.3%
7 216
 
5.9%
9 176
 
4.8%
8 173
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 7
53.8%
B 2
 
15.4%
C 1
 
7.7%
S 1
 
7.7%
K 1
 
7.7%
T 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 156
83.9%
， 28
 
15.1%
. 1
 
0.5%
# 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 335
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7589
53.6%
Common 6551
46.3%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 636
 
8.4%
대 552
 
7.3%
산 550
 
7.2%
운 539
 
7.1%
해 539
 
7.1%
부 531
 
7.0%
구 530
 
7.0%
시 470
 
6.2%
역 468
 
6.2%
광 468
 
6.2%
Other values (121) 2306
30.4%
Common
ValueCountFrequency (%)
2247
34.3%
1 998
15.2%
2 528
 
8.1%
0 483
 
7.4%
4 345
 
5.3%
- 335
 
5.1%
3 267
 
4.1%
5 250
 
3.8%
6 232
 
3.5%
7 216
 
3.3%
Other values (8) 650
 
9.9%
Latin
ValueCountFrequency (%)
A 7
36.8%
e 6
31.6%
B 2
 
10.5%
C 1
 
5.3%
S 1
 
5.3%
K 1
 
5.3%
T 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7589
53.6%
ASCII 6542
46.2%
None 28
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2247
34.3%
1 998
15.3%
2 528
 
8.1%
0 483
 
7.4%
4 345
 
5.3%
- 335
 
5.1%
3 267
 
4.1%
5 250
 
3.8%
6 232
 
3.5%
7 216
 
3.3%
Other values (14) 641
 
9.8%
Hangul
ValueCountFrequency (%)
동 636
 
8.4%
대 552
 
7.3%
산 550
 
7.2%
운 539
 
7.1%
해 539
 
7.1%
부 531
 
7.0%
구 530
 
7.0%
시 470
 
6.2%
역 468
 
6.2%
광 468
 
6.2%
Other values (121) 2306
30.4%
None
ValueCountFrequency (%)
， 28
100.0%

전화번호
Text

Distinct370
Distinct (%)70.1%
Missing2
Missing (%)0.4%
Memory size4.3 KiB
2023-12-11T01:52:43.942014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013258
Min length10

Characters and Unicode

Total characters6343
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

Unique275 ?
Unique (%)52.1%

Sample

1st row051-740-5315
2nd row051-746-0404
3rd row051-746-0404
4th row051-505-1819
5th row051-743-2999
ValueCountFrequency (%)
051-757-5441 8
 
1.5%
051-503-6424 8
 
1.5%
051-507-5260 6
 
1.1%
051-740-6114 5
 
0.9%
051-524-1004 4
 
0.8%
051-715-1114 4
 
0.8%
051-628-5590 4
 
0.8%
051-746-0891 4
 
0.8%
051-526-5001 4
 
0.8%
051-333-8171 4
 
0.8%
Other values (360) 477
90.3%
2023-12-11T01:52:44.422185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1056
16.6%
0 995
15.7%
5 926
14.6%
1 890
14.0%
7 580
9.1%
4 435
6.9%
2 321
 
5.1%
8 310
 
4.9%
3 297
 
4.7%
6 288
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5287
83.4%
Dash Punctuation 1056
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 995
18.8%
5 926
17.5%
1 890
16.8%
7 580
11.0%
4 435
8.2%
2 321
 
6.1%
8 310
 
5.9%
3 297
 
5.6%
6 288
 
5.4%
9 245
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1056
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1056
16.6%
0 995
15.7%
5 926
14.6%
1 890
14.0%
7 580
9.1%
4 435
6.9%
2 321
 
5.1%
8 310
 
4.9%
3 297
 
4.7%
6 288
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1056
16.6%
0 995
15.7%
5 926
14.6%
1 890
14.0%
7 580
9.1%
4 435
6.9%
2 321
 
5.1%
8 310
 
4.9%
3 297
 
4.7%
6 288
 
4.5%

Interactions

2023-12-11T01:52:38.865284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:38.599295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:38.977433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:38.702865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:52:44.542908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종우편번호
번호1.0000.4170.352
업종0.4171.0000.408
우편번호0.3520.4081.000
2023-12-11T01:52:44.638419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호업종
번호1.000-0.2170.142
우편번호-0.2171.0000.131
업종0.1420.1311.000

Missing values

2023-12-11T01:52:39.126709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:39.325335image/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.
2023-12-11T01:52:39.435603image/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(주)가온건설산업시설물유지관리업정상부산 해운대구48092부산광역시 해운대구 마린시티3로 1, 606호(우동, 선프라자)부산광역시 해운대구 우동 1434 , 606호051-746-0404
23(주)가온건설산업지반조성ㆍ포장공사업정상부산 해운대구48092부산광역시 해운대구 마린시티3로 1, 606호(우동, 선프라자)부산광역시 해운대구 우동 1434 , 606호051-746-0404
34(주)거대마루실내건축공사업정상부산 해운대구48069부산광역시 해운대구 해운대로 1174 (송정동)부산광역시 해운대구 송정동 115-1051-505-1819
45(주)거송에이앤디금속창호ㆍ지붕건축물조립공사업정상부산 해운대구48025부산광역시 해운대구 재반로270번길 28, 3층 (반여동)부산광역시 해운대구 반여동 1592-1 3층051-743-2999
56(주)거송에이앤디실내건축공사업정상부산 해운대구48025부산광역시 해운대구 재반로270번길 28, 3층 (반여동)부산광역시 해운대구 반여동 1592-1 3층051-743-2999
67(주)건영하우징실내건축공사업정상부산 해운대구48056부산광역시 해운대구 재반로27번길 36-6, 301호(재송동)부산광역시 해운대구 재송동 539-1, 301호051-919-4974
78(주)경남종합조경건설조경식재ㆍ시설물공사업정상부산 해운대구48059부산광역시 해운대구 센텀중앙로 90, 1702호(재송동, 큐비이센텀)부산광역시 해운대구 재송동 1212 , 큐비이센텀 1702호051-513-6337
89(주)경성스틸철강구조물공사업정상부산 해운대구48102부산광역시 해운대구 해운대로 785， 911호(좌동， 까르띠움)부산광역시 해운대구 좌동 1459-5， 911호051-362-2214
910(주)공간몬스터실내건축공사업정상부산 해운대구48058부산광역시 해운대구 센텀중앙로 97, 제에이동 9층 909호(재송동, 센텀스카이비즈)부산광역시 해운대구 재송동 1208-2051-583-1010
번호업체명업종업종상태지역우편번호도로명주소지번주소전화번호
520521황금설비가스난방공사업정상부산 해운대구48006부산광역시 해운대구 윗반송로51번길 180(반송동)부산 해운대구 반송2동 7-216051-542-8678
521522해동가스가스시설시공업 제2종정상부산 해운대구48087부산광역시 해운대구 우동1로50번길 10(우동)부산 해운대구 우1동 457-14051-742-5959
522523해송가스가스시설시공업 제2종정상부산 해운대구48069부산광역시 해운대구 해운대로 1222 (송정동)부산광역시 해운대구 송정동 87-2051-703-7878
523524해송이앤씨주식회사상ㆍ하수도설비공사업정상부산 해운대구48059부산광역시 해운대구 센텀동로 99, 312-1(재송동, 벽산이-센텀클래스원)부산광역시 해운대구 재송동 1216 312-1051-701-0232
524525해송이앤씨주식회사포장공사업정상부산 해운대구48059부산광역시 해운대구 센텀동로 99, 312-1(재송동, 벽산이-센텀클래스원)부산광역시 해운대구 재송동 1216 312-1051-701-0232
525526해진건설(주)수중공사업정상부산 해운대구48093부산광역시 해운대구 해운대해변로 203, 728호(우동, 오션타워)부산광역시 해운대구 우동 760-3 , 728호051-740-6464
526527해진건설(주)철근ㆍ콘크리트공사업정상부산 해운대구48093부산광역시 해운대구 해운대해변로 203, 728호(우동, 오션타워)부산광역시 해운대구 우동 760-3 , 728호051-740-6464
527528호성조경(주)조경시설물설치공사업정상부산 해운대구48054부산광역시 해운대구 재반로103번길 23 2층 (재송동)부산 해운대구 재송동 1081-6 2층051-558-5858
528529호성조경(주)조경식재공사업정상부산 해운대구48054부산광역시 해운대구 재반로103번길 23 2층 (재송동)부산 해운대구 재송동 1081-6 2층051-558-5858
529530황금설비가스시설시공업 제3종정상부산 해운대구48006부산광역시 해운대구 윗반송로51번길 180(반송동)부산 해운대구 반송2동 7-216051-542-8678