Overview

Dataset statistics

Number of variables8
Number of observations385
Missing cells16
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.6 KiB
Average record size in memory65.3 B

Variable types

Numeric1
Text6
DateTime1

Dataset

Description부산광역시 해운대구 소재 전문건설업 등록현황에 관한 데이터 (업체명, 업종, 업종상태, 영업소 소재지, 전화번호 등)
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/15029133/fileData.do

Alerts

주력분야 has 13 (3.4%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:35:02.834130
Analysis finished2023-12-12 19:35:04.077302
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193
Minimum1
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T04:35:04.155697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.2
Q197
median193
Q3289
95-th percentile365.8
Maximum385
Range384
Interquartile range (IQR)192

Descriptive statistics

Standard deviation111.28417
Coefficient of variation (CV)0.57660192
Kurtosis-1.2
Mean193
Median Absolute Deviation (MAD)96
Skewness0
Sum74305
Variance12384.167
MonotonicityStrictly increasing
2023-12-13T04:35:04.308626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
290 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
Other values (375) 375
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%

상호
Text

Distinct384
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T04:35:04.547405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length7.8831169
Min length2

Characters and Unicode

Total characters3035
Distinct characters303
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

Unique383 ?
Unique (%)99.5%

Sample

1st row(주)가온건설산업
2nd row(주)거대마루
3rd row(주)거송에이앤디
4th row(주)건영하우징
5th row(주)경남종합조경건설
ValueCountFrequency (%)
귀뚜라미보일러 2
 
0.5%
주)가온건설산업 1
 
0.3%
성원테크 1
 
0.3%
서원씨지에스 1
 
0.3%
서봉리사이클링(주 1
 
0.3%
서명건설(주 1
 
0.3%
상준토건(주 1
 
0.3%
상용누수탐지설비공사 1
 
0.3%
삼호건축설비 1
 
0.3%
삼주조경(주 1
 
0.3%
Other values (374) 374
97.1%
2023-12-13T04:35:04.883987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 313
 
10.3%
( 251
 
8.3%
) 251
 
8.3%
이 119
 
3.9%
건 98
 
3.2%
설 96
 
3.2%
사 71
 
2.3%
디 66
 
2.2%
식 58
 
1.9%
회 57
 
1.9%
Other values (293) 1655
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2484
81.8%
Open Punctuation 251
 
8.3%
Close Punctuation 251
 
8.3%
Uppercase Letter 20
 
0.7%
Lowercase Letter 18
 
0.6%
Other Punctuation 6
 
0.2%
Decimal Number 3
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 313
 
12.6%
이 119
 
4.8%
건 98
 
3.9%
설 96
 
3.9%
사 71
 
2.9%
디 66
 
2.7%
식 58
 
2.3%
회 57
 
2.3%
인 50
 
2.0%
스 46
 
1.9%
Other values (260) 1510
60.8%
Uppercase Letter
ValueCountFrequency (%)
N 3
15.0%
S 2
10.0%
T 2
10.0%
E 2
10.0%
I 2
10.0%
G 2
10.0%
R 1
 
5.0%
C 1
 
5.0%
D 1
 
5.0%
M 1
 
5.0%
Other values (3) 3
15.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
16.7%
s 3
16.7%
u 2
11.1%
y 2
11.1%
o 2
11.1%
c 2
11.1%
g 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
p 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
. 2
33.3%
, 1
16.7%
＆ 1
16.7%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
3 1
33.3%
2 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2486
81.9%
Common 511
 
16.8%
Latin 38
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 313
 
12.6%
이 119
 
4.8%
건 98
 
3.9%
설 96
 
3.9%
사 71
 
2.9%
디 66
 
2.7%
식 58
 
2.3%
회 57
 
2.3%
인 50
 
2.0%
스 46
 
1.9%
Other values (261) 1512
60.8%
Latin
ValueCountFrequency (%)
N 3
 
7.9%
n 3
 
7.9%
s 3
 
7.9%
S 2
 
5.3%
u 2
 
5.3%
y 2
 
5.3%
T 2
 
5.3%
E 2
 
5.3%
o 2
 
5.3%
c 2
 
5.3%
Other values (13) 15
39.5%
Common
ValueCountFrequency (%)
( 251
49.1%
) 251
49.1%
& 2
 
0.4%
. 2
 
0.4%
4 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%
, 1
 
0.2%
＆ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2484
81.8%
ASCII 548
 
18.1%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 313
 
12.6%
이 119
 
4.8%
건 98
 
3.9%
설 96
 
3.9%
사 71
 
2.9%
디 66
 
2.7%
식 58
 
2.3%
회 57
 
2.3%
인 50
 
2.0%
스 46
 
1.9%
Other values (260) 1510
60.8%
ASCII
ValueCountFrequency (%)
( 251
45.8%
) 251
45.8%
N 3
 
0.5%
n 3
 
0.5%
s 3
 
0.5%
& 2
 
0.4%
S 2
 
0.4%
. 2
 
0.4%
u 2
 
0.4%
y 2
 
0.4%
Other values (21) 27
 
4.9%
None
ValueCountFrequency (%)
㈜ 2
66.7%
＆ 1
33.3%

대표자
Text

Distinct380
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T04:35:05.186573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.1844156
Min length2

Characters and Unicode

Total characters1226
Distinct characters172
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)97.4%

Sample

1st row주영삼
2nd row김종완
3rd row최해수
4th row김해준
5th row정명심
ValueCountFrequency (%)
김철만 2
 
0.5%
곽동근 2
 
0.5%
정희정 2
 
0.5%
김지영 2
 
0.5%
이상훈 2
 
0.5%
송운선 1
 
0.3%
정진갑 1
 
0.3%
장철호 1
 
0.3%
문정현 1
 
0.3%
권영군 1
 
0.3%
Other values (370) 370
96.1%
2023-12-13T04:35:05.593280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 106
 
8.6%
정 63
 
5.1%
이 43
 
3.5%
영 36
 
2.9%
박 30
 
2.4%
진 28
 
2.3%
현 25
 
2.0%
성 24
 
2.0%
수 24
 
2.0%
윤 21
 
1.7%
Other values (162) 826
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1207
98.5%
Other Punctuation 19
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 106
 
8.8%
정 63
 
5.2%
이 43
 
3.6%
영 36
 
3.0%
박 30
 
2.5%
진 28
 
2.3%
현 25
 
2.1%
성 24
 
2.0%
수 24
 
2.0%
윤 21
 
1.7%
Other values (161) 807
66.9%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1207
98.5%
Common 19
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 106
 
8.8%
정 63
 
5.2%
이 43
 
3.6%
영 36
 
3.0%
박 30
 
2.5%
진 28
 
2.3%
현 25
 
2.1%
성 24
 
2.0%
수 24
 
2.0%
윤 21
 
1.7%
Other values (161) 807
66.9%
Common
ValueCountFrequency (%)
, 19
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1207
98.5%
ASCII 19
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 106
 
8.8%
정 63
 
5.2%
이 43
 
3.6%
영 36
 
3.0%
박 30
 
2.5%
진 28
 
2.3%
현 25
 
2.1%
성 24
 
2.0%
수 24
 
2.0%
윤 21
 
1.7%
Other values (161) 807
66.9%
ASCII
ValueCountFrequency (%)
, 19
100.0%

업체등록일자
Date

Distinct361
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1982-12-18 00:00:00
Maximum2023-10-12 00:00:00
2023-12-13T04:35:05.741017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:05.912311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Text

Distinct150
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T04:35:06.134624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length315
Median length138
Mean length38.906494
Min length7

Characters and Unicode

Total characters14979
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)29.6%

Sample

1st row지반조성ㆍ포장공사업 /시설물유지관리업 /포장공사업(대업종전환)
2nd row실내건축공사업
3rd row금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 /실내건축공사업 /금속구조물ㆍ창호ㆍ온실공사업(대업종전환) /실내건축공사업(대업종전환)
4th row실내건축공사업 /실내건축공사업(대업종전환)
5th row조경식재ㆍ시설물공사업 /조경식재공사업(대업종전환)
ValueCountFrequency (%)
실내건축공사업 120
 
10.3%
실내건축공사업(대업종전환 85
 
7.3%
가스ㆍ난방공사업 55
 
4.7%
시설물유지관리업 50
 
4.3%
가스시설시공업 47
 
4.0%
철근ㆍ콘크리트공사업 45
 
3.8%
철근ㆍ콘크리트공사업(대업종전환 41
 
3.5%
제2종(대업종전환 40
 
3.4%
도장ㆍ습식ㆍ방수ㆍ석공사업 39
 
3.3%
지반조성ㆍ포장공사업 38
 
3.3%
Other values (62) 609
52.1%
2023-12-13T04:35:06.551340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1617
 
10.8%
공 1041
 
6.9%
사 965
 
6.4%
784
 
5.2%
ㆍ 747
 
5.0%
/ 708
 
4.7%
) 555
 
3.7%
( 555
 
3.7%
종 544
 
3.6%
전 468
 
3.1%
Other values (76) 6995
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12301
82.1%
Space Separator 784
 
5.2%
Other Punctuation 708
 
4.7%
Close Punctuation 555
 
3.7%
Open Punctuation 555
 
3.7%
Decimal Number 76
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1617
 
13.1%
공 1041
 
8.5%
사 965
 
7.8%
ㆍ 747
 
6.1%
종 544
 
4.4%
전 468
 
3.8%
환 468
 
3.8%
대 468
 
3.8%
설 335
 
2.7%
조 259
 
2.1%
Other values (69) 5389
43.8%
Decimal Number
ValueCountFrequency (%)
2 44
57.9%
3 22
28.9%
1 10
 
13.2%
Space Separator
ValueCountFrequency (%)
784
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 708
100.0%
Close Punctuation
ValueCountFrequency (%)
) 555
100.0%
Open Punctuation
ValueCountFrequency (%)
( 555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12301
82.1%
Common 2678
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1617
 
13.1%
공 1041
 
8.5%
사 965
 
7.8%
ㆍ 747
 
6.1%
종 544
 
4.4%
전 468
 
3.8%
환 468
 
3.8%
대 468
 
3.8%
설 335
 
2.7%
조 259
 
2.1%
Other values (69) 5389
43.8%
Common
ValueCountFrequency (%)
784
29.3%
/ 708
26.4%
) 555
20.7%
( 555
20.7%
2 44
 
1.6%
3 22
 
0.8%
1 10
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11554
77.1%
ASCII 2678
 
17.9%
Compat Jamo 747
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1617
 
14.0%
공 1041
 
9.0%
사 965
 
8.4%
종 544
 
4.7%
전 468
 
4.1%
환 468
 
4.1%
대 468
 
4.1%
설 335
 
2.9%
조 259
 
2.2%
축 249
 
2.2%
Other values (68) 5140
44.5%
ASCII
ValueCountFrequency (%)
784
29.3%
/ 708
26.4%
) 555
20.7%
( 555
20.7%
2 44
 
1.6%
3 22
 
0.8%
1 10
 
0.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 747
100.0%

주력분야
Text

MISSING 

Distinct370
Distinct (%)99.5%
Missing13
Missing (%)3.4%
Memory size3.1 KiB
2023-12-13T04:35:06.778290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length229
Median length107.5
Mean length31.293011
Min length15

Characters and Unicode

Total characters11641
Distinct characters77
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)98.9%

Sample

1st row포장공사(2019.11.21)
2nd row실내건축공사(2022.01.15)
3rd row금속구조물ㆍ창호ㆍ온실공사(2021.01.07) 실내건축공사(2012.11.22)
4th row실내건축공사(2016.06.10)
5th row조경식재공사(2001.10.29),조경시설물설치공사(2022.03.16)
ValueCountFrequency (%)
난방공사(제2종)(1999.06.04 2
 
0.4%
실내건축공사(2023.01.20 2
 
0.4%
실내건축공사(2015.06.11 2
 
0.4%
실내건축공사(2022.07.06 2
 
0.4%
실내건축공사(2023.05.24 2
 
0.4%
실내건축공사(2021.12.27 2
 
0.4%
철근ㆍ콘크리트공사(1989.11.30 1
 
0.2%
상ㆍ하수도설비공사(2006.10.13 1
 
0.2%
습식ㆍ방수공사(2012.04.05 1
 
0.2%
난방공사(제2종)(2011.10.13 1
 
0.2%
Other values (472) 472
96.7%
2023-12-13T04:35:07.185230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1407
 
12.1%
2 1151
 
9.9%
. 1134
 
9.7%
1 795
 
6.8%
( 644
 
5.5%
) 644
 
5.5%
공 567
 
4.9%
사 567
 
4.9%
440
 
3.8%
9 281
 
2.4%
Other values (67) 4011
34.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4613
39.6%
Other Letter 4087
35.1%
Other Punctuation 1213
 
10.4%
Open Punctuation 644
 
5.5%
Close Punctuation 644
 
5.5%
Space Separator 440
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 567
 
13.9%
사 567
 
13.9%
ㆍ 223
 
5.5%
설 182
 
4.5%
실 156
 
3.8%
조 127
 
3.1%
건 124
 
3.0%
축 124
 
3.0%
내 120
 
2.9%
물 97
 
2.4%
Other values (52) 1800
44.0%
Decimal Number
ValueCountFrequency (%)
0 1407
30.5%
2 1151
25.0%
1 795
17.2%
9 281
 
6.1%
3 235
 
5.1%
4 167
 
3.6%
5 163
 
3.5%
7 153
 
3.3%
8 134
 
2.9%
6 127
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 1134
93.5%
, 79
 
6.5%
Open Punctuation
ValueCountFrequency (%)
( 644
100.0%
Close Punctuation
ValueCountFrequency (%)
) 644
100.0%
Space Separator
ValueCountFrequency (%)
440
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7554
64.9%
Hangul 4087
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 567
 
13.9%
사 567
 
13.9%
ㆍ 223
 
5.5%
설 182
 
4.5%
실 156
 
3.8%
조 127
 
3.1%
건 124
 
3.0%
축 124
 
3.0%
내 120
 
2.9%
물 97
 
2.4%
Other values (52) 1800
44.0%
Common
ValueCountFrequency (%)
0 1407
18.6%
2 1151
15.2%
. 1134
15.0%
1 795
10.5%
( 644
8.5%
) 644
8.5%
440
 
5.8%
9 281
 
3.7%
3 235
 
3.1%
4 167
 
2.2%
Other values (5) 656
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7554
64.9%
Hangul 3864
33.2%
Compat Jamo 223
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1407
18.6%
2 1151
15.2%
. 1134
15.0%
1 795
10.5%
( 644
8.5%
) 644
8.5%
440
 
5.8%
9 281
 
3.7%
3 235
 
3.1%
4 167
 
2.2%
Other values (5) 656
8.7%
Hangul
ValueCountFrequency (%)
공 567
 
14.7%
사 567
 
14.7%
설 182
 
4.7%
실 156
 
4.0%
조 127
 
3.3%
건 124
 
3.2%
축 124
 
3.2%
내 120
 
3.1%
물 97
 
2.5%
비 89
 
2.3%
Other values (51) 1711
44.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 223
100.0%

영업소재지(도로명주소)
Text

Distinct381
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T04:35:07.498053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length35.293506
Min length21

Characters and Unicode

Total characters13588
Distinct characters206
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

Unique377 ?
Unique (%)97.9%

Sample

1st row부산광역시 해운대구 마린시티3로 1, 606호(우동, 선프라자)
2nd row부산광역시 해운대구 해운대로 1174 (송정동)
3rd row부산광역시 해운대구 재반로270번길 28, 3층 (반여동)
4th row부산광역시 해운대구 재반로27번길 36-6, 301호(재송동)
5th row부산광역시 해운대구 센텀중앙로 90, 1702호(재송동, 큐비이센텀)
ValueCountFrequency (%)
부산광역시 385
 
16.2%
해운대구 385
 
16.2%
우동 74
 
3.1%
재송동 57
 
2.4%
센텀중앙로 41
 
1.7%
35
 
1.5%
반여동 28
 
1.2%
2층 24
 
1.0%
apec로 24
 
1.0%
해운대로 21
 
0.9%
Other values (703) 1305
54.9%
2023-12-13T04:35:08.054148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1994
 
14.7%
1 508
 
3.7%
동 503
 
3.7%
대 499
 
3.7%
해 488
 
3.6%
운 478
 
3.5%
시 417
 
3.1%
산 407
 
3.0%
( 393
 
2.9%
) 393
 
2.9%
Other values (196) 7508
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7941
58.4%
Decimal Number 2328
 
17.1%
Space Separator 1994
 
14.7%
Open Punctuation 393
 
2.9%
Close Punctuation 393
 
2.9%
Other Punctuation 333
 
2.5%
Uppercase Letter 112
 
0.8%
Dash Punctuation 91
 
0.7%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 503
 
6.3%
대 499
 
6.3%
해 488
 
6.1%
운 478
 
6.0%
시 417
 
5.3%
산 407
 
5.1%
구 389
 
4.9%
광 389
 
4.9%
부 386
 
4.9%
역 385
 
4.8%
Other values (170) 3600
45.3%
Decimal Number
ValueCountFrequency (%)
1 508
21.8%
2 346
14.9%
0 303
13.0%
3 252
10.8%
5 177
 
7.6%
7 163
 
7.0%
6 156
 
6.7%
9 153
 
6.6%
4 147
 
6.3%
8 123
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 30
26.8%
C 26
23.2%
E 24
21.4%
P 24
21.4%
B 5
 
4.5%
K 1
 
0.9%
T 1
 
0.9%
S 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 259
77.8%
， 73
 
21.9%
# 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1994
100.0%
Open Punctuation
ValueCountFrequency (%)
( 393
100.0%
Close Punctuation
ValueCountFrequency (%)
) 393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7941
58.4%
Common 5532
40.7%
Latin 115
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 503
 
6.3%
대 499
 
6.3%
해 488
 
6.1%
운 478
 
6.0%
시 417
 
5.3%
산 407
 
5.1%
구 389
 
4.9%
광 389
 
4.9%
부 386
 
4.9%
역 385
 
4.8%
Other values (170) 3600
45.3%
Common
ValueCountFrequency (%)
1994
36.0%
1 508
 
9.2%
( 393
 
7.1%
) 393
 
7.1%
2 346
 
6.3%
0 303
 
5.5%
, 259
 
4.7%
3 252
 
4.6%
5 177
 
3.2%
7 163
 
2.9%
Other values (7) 744
 
13.4%
Latin
ValueCountFrequency (%)
A 30
26.1%
C 26
22.6%
E 24
20.9%
P 24
20.9%
B 5
 
4.3%
e 3
 
2.6%
K 1
 
0.9%
T 1
 
0.9%
S 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7941
58.4%
ASCII 5574
41.0%
None 73
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1994
35.8%
1 508
 
9.1%
( 393
 
7.1%
) 393
 
7.1%
2 346
 
6.2%
0 303
 
5.4%
, 259
 
4.6%
3 252
 
4.5%
5 177
 
3.2%
7 163
 
2.9%
Other values (15) 786
 
14.1%
Hangul
ValueCountFrequency (%)
동 503
 
6.3%
대 499
 
6.3%
해 488
 
6.1%
운 478
 
6.0%
시 417
 
5.3%
산 407
 
5.1%
구 389
 
4.9%
광 389
 
4.9%
부 386
 
4.9%
역 385
 
4.8%
Other values (170) 3600
45.3%
None
ValueCountFrequency (%)
， 73
100.0%

전화번호
Text

Distinct374
Distinct (%)97.9%
Missing3
Missing (%)0.8%
Memory size3.1 KiB
2023-12-13T04:35:08.338902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.028796
Min length10

Characters and Unicode

Total characters4595
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

Unique366 ?
Unique (%)95.8%

Sample

1st row051-746-0404
2nd row051-505-1819
3rd row051-743-2999
4th row051-919-4974
5th row051-513-6337
ValueCountFrequency (%)
051-757-5441 2
 
0.5%
051-746-0891 2
 
0.5%
051-781-9000 2
 
0.5%
051-759-7798 2
 
0.5%
051-507-5260 2
 
0.5%
051-819-7130 2
 
0.5%
051-724-7971 2
 
0.5%
051-997-5004 2
 
0.5%
070-8725-9253 1
 
0.3%
051-507-9597 1
 
0.3%
Other values (364) 364
95.3%
2023-12-13T04:35:08.812291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 764
16.6%
0 723
15.7%
5 670
14.6%
1 636
13.8%
7 430
9.4%
4 290
 
6.3%
2 241
 
5.2%
8 231
 
5.0%
3 229
 
5.0%
6 199
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3831
83.4%
Dash Punctuation 764
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 723
18.9%
5 670
17.5%
1 636
16.6%
7 430
11.2%
4 290
7.6%
2 241
 
6.3%
8 231
 
6.0%
3 229
 
6.0%
6 199
 
5.2%
9 182
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 764
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4595
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 764
16.6%
0 723
15.7%
5 670
14.6%
1 636
13.8%
7 430
9.4%
4 290
 
6.3%
2 241
 
5.2%
8 231
 
5.0%
3 229
 
5.0%
6 199
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 764
16.6%
0 723
15.7%
5 670
14.6%
1 636
13.8%
7 430
9.4%
4 290
 
6.3%
2 241
 
5.2%
8 231
 
5.0%
3 229
 
5.0%
6 199
 
4.3%

Interactions

2023-12-13T04:35:03.323185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T04:35:03.460737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:35:03.905570image/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.
2023-12-13T04:35:04.024000image/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

순번상호대표자업체등록일자업종주력분야영업소재지(도로명주소)전화번호
01(주)가온건설산업주영삼2017-02-09지반조성ㆍ포장공사업 /시설물유지관리업 /포장공사업(대업종전환)포장공사(2019.11.21)부산광역시 해운대구 마린시티3로 1, 606호(우동, 선프라자)051-746-0404
12(주)거대마루김종완2022-01-17실내건축공사업실내건축공사(2022.01.15)부산광역시 해운대구 해운대로 1174 (송정동)051-505-1819
23(주)거송에이앤디최해수2012-11-22금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 /실내건축공사업 /금속구조물ㆍ창호ㆍ온실공사업(대업종전환) /실내건축공사업(대업종전환)금속구조물ㆍ창호ㆍ온실공사(2021.01.07) 실내건축공사(2012.11.22)부산광역시 해운대구 재반로270번길 28, 3층 (반여동)051-743-2999
34(주)건영하우징김해준2016-06-10실내건축공사업 /실내건축공사업(대업종전환)실내건축공사(2016.06.10)부산광역시 해운대구 재반로27번길 36-6, 301호(재송동)051-919-4974
45(주)경남종합조경건설정명심2001-10-29조경식재ㆍ시설물공사업 /조경식재공사업(대업종전환)조경식재공사(2001.10.29),조경시설물설치공사(2022.03.16)부산광역시 해운대구 센텀중앙로 90, 1702호(재송동, 큐비이센텀)051-513-6337
56(주)경성스틸김맹복2012-03-26철강구조물공사업 /강구조물공사업(대업종전환)철강구조물공사(2012.03.26)부산광역시 해운대구 해운대로 785， 911호(좌동， 까르띠움)051-362-2214
67(주)공간몬스터김지수2022-08-29실내건축공사업실내건축공사(2022.08.29)부산광역시 해운대구 센텀중앙로 97, 제에이동 9층 909호(재송동, 센텀스카이비즈)051-583-1010
78(주)공간조경정석봉2003-05-12조경식재ㆍ시설물공사업 /조경식재공사업(대업종전환) /조경시설물설치공사업(대업종전환)조경식재공사(2003.05.12),조경시설물설치공사(2003.05.12)부산광역시 해운대구 센텀동로 71, 1107호(우동, 벽산이-센텀클래스원2차)051-583-8713
89(주)공담디자인오이택2021-07-05실내건축공사업 /실내건축공사업(대업종전환)실내건축공사(2021.07.05)부산광역시 해운대구 센텀중앙로 90, 1803호(재송동, 큐비이센텀)051-934-9002
910(주)광도설비황정욱2019-01-14조경식재ㆍ시설물공사업 /기계설비ㆍ가스공사업 /기계설비공사업(대업종전환) /조경시설물설치공사업(대업종전환)조경시설물설치공사(2021.01.13) 기계설비공사(2019.01.14)부산광역시 해운대구 센텀중앙로 97, 에이동 3212호 (재송동, 센텀스카이비즈)051-754-2796
순번상호대표자업체등록일자업종주력분야영업소재지(도로명주소)전화번호
375376투엠조이조성용2016-11-03실내건축공사업 /실내건축공사업(대업종전환)실내건축공사(2016.11.03)부산광역시 해운대구 센텀2로 33 , 410호 (우동, 센텀뷰라움)051-902-9095
376377플레닝센터(주)김효영2019-03-11실내건축공사업 /실내건축공사업(대업종전환)실내건축공사(2019.03.11)부산광역시 해운대구 반송로 617 4층 (석대동)051-997-5004
377378한국라이언기초건설(주)박승완2013-08-08지반조성ㆍ포장공사업 /보링ㆍ그라우팅공사업(대업종전환)보링ㆍ그라우팅ㆍ파일공사(2013.08.08)부산광역시 해운대구 마린시티3로 1 선프라자 720호 (우동)051-746-2665
378379한국산전(주)이현곤2016-07-28기계설비ㆍ가스공사업 /기계설비공사업(대업종전환)기계설비공사(2016.07.28)부산광역시 해운대구 반송로525번길 53 (석대동)051-523-9411
379380한국팽이건설(주)박종국2000-01-01지반조성ㆍ포장공사업 /토공사업(대업종전환)토공사(2000.08.26)부산광역시 해운대구 마린시티3로 1 선프라자오피스텔 728호(우동)051-743-6480
380381한디자인건축(주)김홍철2009-12-11실내건축공사업 /실내건축공사업(대업종전환)실내건축공사(2009.12.11)부산광역시 해운대구 센텀동로 99 벽산이-센텀클래스원 507호(재송동)051-634-7565
381382해송가스방윤근2016-07-19가스ㆍ난방공사업 /가스시설시공업 제2종(대업종전환)가스시설공사(제2종)(2016.07.19)부산광역시 해운대구 해운대로 1222 (송정동)051-703-7878
382383해진건설(주)이상호1997-01-01철근ㆍ콘크리트공사업 /수중ㆍ준설공사업 /철근ㆍ콘크리트공사업(자진반납) /토공사업(폐업) /철근ㆍ콘크리트공사업(대업종전환) /수중공사업(대업종전환)철근ㆍ콘크리트공사(2021.07.05) 수중공사(1997.11.28)부산광역시 해운대구 해운대해변로 203, 728호(우동, 오션타워)051-740-6464
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