Overview

Dataset statistics

Number of variables9
Number of observations235
Missing cells7
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory73.6 B

Variable types

Numeric1
Text6
DateTime1
Categorical1

Dataset

Description부산광역시 남구 전문건설업 현황에 대한 데이터로 전문건설업 업체명, 대표자, 등록업종, 주력분야, 영업소 소재지 등을 제공합니다.
URLhttps://www.data.go.kr/data/3081752/fileData.do

Alerts

업체상태 has constant value ""Constant
주력분야 has 7 (3.0%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:43:32.895763
Analysis finished2023-12-12 18:43:34.328654
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118
Minimum1
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T03:43:34.475299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.7
Q159.5
median118
Q3176.5
95-th percentile223.3
Maximum235
Range234
Interquartile range (IQR)117

Descriptive statistics

Standard deviation67.982841
Coefficient of variation (CV)0.57612577
Kurtosis-1.2
Mean118
Median Absolute Deviation (MAD)59
Skewness0
Sum27730
Variance4621.6667
MonotonicityStrictly increasing
2023-12-13T03:43:34.759665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
163 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
Other values (225) 225
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%

상호
Text

UNIQUE 

Distinct235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T03:43:35.171141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.4723404
Min length2

Characters and Unicode

Total characters1756
Distinct characters232
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)100.0%

Sample

1st row(주)가단개발
2nd row(주)가람아이앤씨
3rd row(주)가야아이앤디(KAYAI&D)
4th row(주)거암디엔씨
5th row(주)경부에너지
ValueCountFrequency (%)
주)가단개발 1
 
0.4%
에스엔케이건업(주 1
 
0.4%
윤슬건설(주 1
 
0.4%
소원건축설비 1
 
0.4%
송설비 1
 
0.4%
시대설비공사 1
 
0.4%
신신가스 1
 
0.4%
신칠성가스 1
 
0.4%
신풍건설(주 1
 
0.4%
신헌토건(주 1
 
0.4%
Other values (225) 225
95.7%
2023-12-13T03:43:35.856620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 166
 
9.5%
( 126
 
7.2%
) 126
 
7.2%
설 83
 
4.7%
건 63
 
3.6%
사 46
 
2.6%
비 43
 
2.4%
이 43
 
2.4%
회 40
 
2.3%
식 38
 
2.2%
Other values (222) 982
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1480
84.3%
Open Punctuation 126
 
7.2%
Close Punctuation 126
 
7.2%
Uppercase Letter 14
 
0.8%
Lowercase Letter 6
 
0.3%
Decimal Number 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 166
 
11.2%
설 83
 
5.6%
건 63
 
4.3%
사 46
 
3.1%
비 43
 
2.9%
이 43
 
2.9%
회 40
 
2.7%
식 38
 
2.6%
스 32
 
2.2%
지 28
 
1.9%
Other values (201) 898
60.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
S 2
14.3%
K 2
14.3%
N 1
 
7.1%
H 1
 
7.1%
D 1
 
7.1%
G 1
 
7.1%
E 1
 
7.1%
Y 1
 
7.1%
I 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
16.7%
l 1
16.7%
a 1
16.7%
e 1
16.7%
g 1
16.7%
n 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1480
84.3%
Common 256
 
14.6%
Latin 20
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 166
 
11.2%
설 83
 
5.6%
건 63
 
4.3%
사 46
 
3.1%
비 43
 
2.9%
이 43
 
2.9%
회 40
 
2.7%
식 38
 
2.6%
스 32
 
2.2%
지 28
 
1.9%
Other values (201) 898
60.7%
Latin
ValueCountFrequency (%)
A 3
15.0%
S 2
 
10.0%
K 2
 
10.0%
N 1
 
5.0%
i 1
 
5.0%
l 1
 
5.0%
a 1
 
5.0%
e 1
 
5.0%
H 1
 
5.0%
D 1
 
5.0%
Other values (6) 6
30.0%
Common
ValueCountFrequency (%)
( 126
49.2%
) 126
49.2%
8 2
 
0.8%
/ 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1480
84.3%
ASCII 276
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 166
 
11.2%
설 83
 
5.6%
건 63
 
4.3%
사 46
 
3.1%
비 43
 
2.9%
이 43
 
2.9%
회 40
 
2.7%
식 38
 
2.6%
스 32
 
2.2%
지 28
 
1.9%
Other values (201) 898
60.7%
ASCII
ValueCountFrequency (%)
( 126
45.7%
) 126
45.7%
A 3
 
1.1%
8 2
 
0.7%
S 2
 
0.7%
K 2
 
0.7%
/ 1
 
0.4%
N 1
 
0.4%
i 1
 
0.4%
l 1
 
0.4%
Other values (11) 11
 
4.0%

대표자
Text

Distinct232
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T03:43:36.323283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1659574
Min length2

Characters and Unicode

Total characters744
Distinct characters145
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

Unique229 ?
Unique (%)97.4%

Sample

1st row김현종
2nd row김병구
3rd row최환식
4th row박필제
5th row이상의
ValueCountFrequency (%)
조영재 2
 
0.9%
이남숙 2
 
0.9%
박대지 2
 
0.9%
박진철 1
 
0.4%
박언희 1
 
0.4%
김현곤 1
 
0.4%
원희연 1
 
0.4%
김미정 1
 
0.4%
최종일 1
 
0.4%
장정화 1
 
0.4%
Other values (222) 222
94.5%
2023-12-13T03:43:36.909939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 55
 
7.4%
이 36
 
4.8%
박 22
 
3.0%
정 21
 
2.8%
진 20
 
2.7%
성 19
 
2.6%
영 16
 
2.2%
태 16
 
2.2%
윤 14
 
1.9%
상 14
 
1.9%
Other values (135) 511
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
98.8%
Other Punctuation 9
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 55
 
7.5%
이 36
 
4.9%
박 22
 
3.0%
정 21
 
2.9%
진 20
 
2.7%
성 19
 
2.6%
영 16
 
2.2%
태 16
 
2.2%
윤 14
 
1.9%
상 14
 
1.9%
Other values (134) 502
68.3%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
98.8%
Common 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 55
 
7.5%
이 36
 
4.9%
박 22
 
3.0%
정 21
 
2.9%
진 20
 
2.7%
성 19
 
2.6%
영 16
 
2.2%
태 16
 
2.2%
윤 14
 
1.9%
상 14
 
1.9%
Other values (134) 502
68.3%
Common
ValueCountFrequency (%)
, 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
98.8%
ASCII 9
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 55
 
7.5%
이 36
 
4.9%
박 22
 
3.0%
정 21
 
2.9%
진 20
 
2.7%
성 19
 
2.6%
영 16
 
2.2%
태 16
 
2.2%
윤 14
 
1.9%
상 14
 
1.9%
Other values (134) 502
68.3%
ASCII
ValueCountFrequency (%)
, 9
100.0%

업체등록일자
Date

Distinct212
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1980-01-24 00:00:00
Maximum2023-03-16 00:00:00
2023-12-13T03:43:37.104925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:43:37.759840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
정상
235 

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 235
100.0%

Length

2023-12-13T03:43:37.910806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:43:38.021621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 235
100.0%

업종
Text

Distinct96
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T03:43:38.208929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length257
Median length112
Mean length37.306383
Min length7

Characters and Unicode

Total characters8767
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

Unique67 ?
Unique (%)28.5%

Sample

1st row금속창호ㆍ지붕건축물조립공사업, 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)
2nd row실내건축공사업, 실내건축공사업(대업종전환)
3rd row실내건축공사업, 실내건축공사업(대업종전환)
4th row기계가스설비공사업, 상ㆍ하수도설비공사업, 시설물유지관리업, 기계설비공사업(대업종전환), 상ㆍ하수도설비공사업(대업종전환)
5th row기계가스설비공사업, 가스시설시공업 제1종(대업종전환)
ValueCountFrequency (%)
가스난방공사업 72
 
9.5%
제2종(대업종전환 69
 
9.1%
가스시설시공업 64
 
8.4%
난방시공업 55
 
7.3%
실내건축공사업 40
 
5.3%
실내건축공사업(대업종전환 35
 
4.6%
기계가스설비공사업 34
 
4.5%
기계설비공사업(대업종전환 25
 
3.3%
상ㆍ하수도설비공사업 24
 
3.2%
상ㆍ하수도설비공사업(대업종전환 23
 
3.0%
Other values (53) 317
41.8%
2023-12-13T03:43:38.669774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 963
 
11.0%
공 615
 
7.0%
523
 
6.0%
사 496
 
5.7%
종 406
 
4.6%
, 404
 
4.6%
( 340
 
3.9%
) 340
 
3.9%
전 287
 
3.3%
환 287
 
3.3%
Other values (76) 4106
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7041
80.3%
Space Separator 523
 
6.0%
Other Punctuation 404
 
4.6%
Open Punctuation 340
 
3.9%
Close Punctuation 340
 
3.9%
Decimal Number 119
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 963
 
13.7%
공 615
 
8.7%
사 496
 
7.0%
종 406
 
5.8%
전 287
 
4.1%
환 287
 
4.1%
대 287
 
4.1%
ㆍ 264
 
3.7%
설 230
 
3.3%
시 227
 
3.2%
Other values (69) 2979
42.3%
Decimal Number
ValueCountFrequency (%)
2 73
61.3%
3 28
 
23.5%
1 18
 
15.1%
Space Separator
ValueCountFrequency (%)
523
100.0%
Other Punctuation
ValueCountFrequency (%)
, 404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7041
80.3%
Common 1726
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 963
 
13.7%
공 615
 
8.7%
사 496
 
7.0%
종 406
 
5.8%
전 287
 
4.1%
환 287
 
4.1%
대 287
 
4.1%
ㆍ 264
 
3.7%
설 230
 
3.3%
시 227
 
3.2%
Other values (69) 2979
42.3%
Common
ValueCountFrequency (%)
523
30.3%
, 404
23.4%
( 340
19.7%
) 340
19.7%
2 73
 
4.2%
3 28
 
1.6%
1 18
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6777
77.3%
ASCII 1726
 
19.7%
Compat Jamo 264
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 963
 
14.2%
공 615
 
9.1%
사 496
 
7.3%
종 406
 
6.0%
전 287
 
4.2%
환 287
 
4.2%
대 287
 
4.2%
설 230
 
3.4%
시 227
 
3.3%
가 170
 
2.5%
Other values (68) 2809
41.4%
ASCII
ValueCountFrequency (%)
523
30.3%
, 404
23.4%
( 340
19.7%
) 340
19.7%
2 73
 
4.2%
3 28
 
1.6%
1 18
 
1.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 264
100.0%

주력분야
Text

MISSING 

Distinct221
Distinct (%)96.9%
Missing7
Missing (%)3.0%
Memory size2.0 KiB
2023-12-13T03:43:39.018951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length211
Median length90
Mean length30.482456
Min length16

Characters and Unicode

Total characters6950
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

Unique219 ?
Unique (%)96.1%

Sample

1st row금속구조물ㆍ창호ㆍ온실공사(2009.11.06)
2nd row실내건축공사(2019.02.25)
3rd row실내건축공사(2021.02.17)
4th row기계설비공사(2020.02.19), 상ㆍ하수도설비공사(2007.08.16)
5th row가스시설공사(제1종)(2000.08.24)
ValueCountFrequency (%)
난방공사(제2종)(1999.06.09 9
 
2.7%
5
 
1.5%
가스시설공사(제3종)(2000.03.29 2
 
0.6%
가스시설공사(제3종)(2000.05.01 2
 
0.6%
실내건축공사(2021.02.17 2
 
0.6%
기계설비공사(2019.07.31 1
 
0.3%
가스시설공사(제2종)(2017.07.27 1
 
0.3%
가스시설공사(제2종)(2015.07.06 1
 
0.3%
가스시설공사(제2종)(2013.12.17 1
 
0.3%
습식ㆍ방수공사(2023.02.14 1
 
0.3%
Other values (304) 304
92.4%
2023-12-13T03:43:39.768415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 838
 
12.1%
2 673
 
9.7%
. 648
 
9.3%
1 450
 
6.5%
( 432
 
6.2%
) 432
 
6.2%
공 324
 
4.7%
사 324
 
4.7%
309
 
4.4%
9 193
 
2.8%
Other values (67) 2327
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2700
38.8%
Other Letter 2328
33.5%
Other Punctuation 749
 
10.8%
Open Punctuation 432
 
6.2%
Close Punctuation 432
 
6.2%
Space Separator 309
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 324
 
13.9%
사 324
 
13.9%
설 136
 
5.8%
제 108
 
4.6%
종 108
 
4.6%
ㆍ 98
 
4.2%
시 71
 
3.0%
비 62
 
2.7%
가 60
 
2.6%
스 60
 
2.6%
Other values (52) 977
42.0%
Decimal Number
ValueCountFrequency (%)
0 838
31.0%
2 673
24.9%
1 450
16.7%
9 193
 
7.1%
3 124
 
4.6%
5 95
 
3.5%
7 93
 
3.4%
6 85
 
3.1%
8 79
 
2.9%
4 70
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 648
86.5%
, 101
 
13.5%
Open Punctuation
ValueCountFrequency (%)
( 432
100.0%
Close Punctuation
ValueCountFrequency (%)
) 432
100.0%
Space Separator
ValueCountFrequency (%)
309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4622
66.5%
Hangul 2328
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 324
 
13.9%
사 324
 
13.9%
설 136
 
5.8%
제 108
 
4.6%
종 108
 
4.6%
ㆍ 98
 
4.2%
시 71
 
3.0%
비 62
 
2.7%
가 60
 
2.6%
스 60
 
2.6%
Other values (52) 977
42.0%
Common
ValueCountFrequency (%)
0 838
18.1%
2 673
14.6%
. 648
14.0%
1 450
9.7%
( 432
9.3%
) 432
9.3%
309
 
6.7%
9 193
 
4.2%
3 124
 
2.7%
, 101
 
2.2%
Other values (5) 422
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4622
66.5%
Hangul 2230
32.1%
Compat Jamo 98
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 838
18.1%
2 673
14.6%
. 648
14.0%
1 450
9.7%
( 432
9.3%
) 432
9.3%
309
 
6.7%
9 193
 
4.2%
3 124
 
2.7%
, 101
 
2.2%
Other values (5) 422
9.1%
Hangul
ValueCountFrequency (%)
공 324
 
14.5%
사 324
 
14.5%
설 136
 
6.1%
제 108
 
4.8%
종 108
 
4.8%
시 71
 
3.2%
비 62
 
2.8%
가 60
 
2.7%
스 60
 
2.7%
방 57
 
2.6%
Other values (51) 920
41.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 98
100.0%

우편번호(도로명주소)
Text

Distinct139
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T03:43:40.200422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.2042553
Min length2

Characters and Unicode

Total characters1693
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)36.6%

Sample

1st row[48553]
2nd row[48508]
3rd row[48577]
4th row[48417]
5th row[48491 ]
ValueCountFrequency (%)
90
28.3%
48457 13
 
4.1%
48508 9
 
2.8%
48475 7
 
2.2%
48494 6
 
1.9%
48485 5
 
1.6%
48499 5
 
1.6%
48531 5
 
1.6%
48493 4
 
1.3%
48416 4
 
1.3%
Other values (95) 170
53.5%
2023-12-13T03:43:40.855103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 402
23.7%
8 279
16.5%
[ 235
13.9%
] 235
13.9%
5 148
 
8.7%
83
 
4.9%
7 52
 
3.1%
3 48
 
2.8%
9 48
 
2.8%
0 47
 
2.8%
Other values (3) 116
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1140
67.3%
Open Punctuation 235
 
13.9%
Close Punctuation 235
 
13.9%
Space Separator 83
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 402
35.3%
8 279
24.5%
5 148
 
13.0%
7 52
 
4.6%
3 48
 
4.2%
9 48
 
4.2%
0 47
 
4.1%
1 44
 
3.9%
6 39
 
3.4%
2 33
 
2.9%
Open Punctuation
ValueCountFrequency (%)
[ 235
100.0%
Close Punctuation
ValueCountFrequency (%)
] 235
100.0%
Space Separator
ValueCountFrequency (%)
83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 402
23.7%
8 279
16.5%
[ 235
13.9%
] 235
13.9%
5 148
 
8.7%
83
 
4.9%
7 52
 
3.1%
3 48
 
2.8%
9 48
 
2.8%
0 47
 
2.8%
Other values (3) 116
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 402
23.7%
8 279
16.5%
[ 235
13.9%
] 235
13.9%
5 148
 
8.7%
83
 
4.9%
7 52
 
3.1%
3 48
 
2.8%
9 48
 
2.8%
0 47
 
2.8%
Other values (3) 116
 
6.9%

영업소재지(도로명주소)
Text

Distinct229
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T03:43:41.374085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length29.906383
Min length20

Characters and Unicode

Total characters7028
Distinct characters161
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

Unique226 ?
Unique (%)96.2%

Sample

1st row부산광역시 남구 신선로 259-15 (용당동)
2nd row부산광역시 남구 수영로 312 1236호 21센튜리시티오피스텔 (대연동)
3rd row부산광역시 남구 용호로123번길 64 (용호동)
4th row부산광역시 남구 문현로 43-7， 1층 (문현동)
5th row부산광역시 남구 전선등로 34 (감만동)
ValueCountFrequency (%)
남구 235
 
16.9%
부산광역시 234
 
16.8%
대연동 86
 
6.2%
문현동 47
 
3.4%
수영로 36
 
2.6%
용호동 32
 
2.3%
2층 16
 
1.2%
용당동 16
 
1.2%
16
 
1.2%
유엔로 13
 
0.9%
Other values (409) 660
47.4%
2023-12-13T03:43:42.141222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1156
 
16.4%
동 295
 
4.2%
1 288
 
4.1%
) 245
 
3.5%
남 242
 
3.4%
산 241
 
3.4%
시 241
 
3.4%
( 241
 
3.4%
부 238
 
3.4%
로 236
 
3.4%
Other values (151) 3605
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4013
57.1%
Decimal Number 1201
 
17.1%
Space Separator 1156
 
16.4%
Close Punctuation 245
 
3.5%
Open Punctuation 241
 
3.4%
Other Punctuation 122
 
1.7%
Dash Punctuation 48
 
0.7%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 295
 
7.4%
남 242
 
6.0%
산 241
 
6.0%
시 241
 
6.0%
부 238
 
5.9%
로 236
 
5.9%
구 235
 
5.9%
역 234
 
5.8%
광 234
 
5.8%
대 145
 
3.6%
Other values (133) 1672
41.7%
Decimal Number
ValueCountFrequency (%)
1 288
24.0%
2 201
16.7%
3 139
11.6%
0 108
 
9.0%
4 99
 
8.2%
5 96
 
8.0%
6 92
 
7.7%
8 65
 
5.4%
7 58
 
4.8%
9 55
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 94
77.0%
， 28
 
23.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
1156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4013
57.1%
Common 3013
42.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 295
 
7.4%
남 242
 
6.0%
산 241
 
6.0%
시 241
 
6.0%
부 238
 
5.9%
로 236
 
5.9%
구 235
 
5.9%
역 234
 
5.8%
광 234
 
5.8%
대 145
 
3.6%
Other values (133) 1672
41.7%
Common
ValueCountFrequency (%)
1156
38.4%
1 288
 
9.6%
) 245
 
8.1%
( 241
 
8.0%
2 201
 
6.7%
3 139
 
4.6%
0 108
 
3.6%
4 99
 
3.3%
5 96
 
3.2%
, 94
 
3.1%
Other values (6) 346
 
11.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4013
57.1%
ASCII 2987
42.5%
None 28
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1156
38.7%
1 288
 
9.6%
) 245
 
8.2%
( 241
 
8.1%
2 201
 
6.7%
3 139
 
4.7%
0 108
 
3.6%
4 99
 
3.3%
5 96
 
3.2%
, 94
 
3.1%
Other values (7) 320
 
10.7%
Hangul
ValueCountFrequency (%)
동 295
 
7.4%
남 242
 
6.0%
산 241
 
6.0%
시 241
 
6.0%
부 238
 
5.9%
로 236
 
5.9%
구 235
 
5.9%
역 234
 
5.8%
광 234
 
5.8%
대 145
 
3.6%
Other values (133) 1672
41.7%
None
ValueCountFrequency (%)
， 28
100.0%

Interactions

2023-12-13T03:43:33.726025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:43:42.286515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.494
업종0.4941.000

Missing values

2023-12-13T03:43:33.949520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:43:34.223242image/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

연번상호대표자업체등록일자업체상태업종주력분야우편번호(도로명주소)영업소재지(도로명주소)
01(주)가단개발김현종2009.11.06정상금속창호ㆍ지붕건축물조립공사업, 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)금속구조물ㆍ창호ㆍ온실공사(2009.11.06)[48553]부산광역시 남구 신선로 259-15 (용당동)
12(주)가람아이앤씨김병구2019.02.25정상실내건축공사업, 실내건축공사업(대업종전환)실내건축공사(2019.02.25)[48508]부산광역시 남구 수영로 312 1236호 21센튜리시티오피스텔 (대연동)
23(주)가야아이앤디(KAYAI&D)최환식2021.02.17정상실내건축공사업, 실내건축공사업(대업종전환)실내건축공사(2021.02.17)[48577]부산광역시 남구 용호로123번길 64 (용호동)
34(주)거암디엔씨박필제2003.12.09정상기계가스설비공사업, 상ㆍ하수도설비공사업, 시설물유지관리업, 기계설비공사업(대업종전환), 상ㆍ하수도설비공사업(대업종전환)기계설비공사(2020.02.19), 상ㆍ하수도설비공사(2007.08.16)[48417]부산광역시 남구 문현로 43-7， 1층 (문현동)
45(주)경부에너지이상의2000.08.02정상기계가스설비공사업, 가스시설시공업 제1종(대업종전환)가스시설공사(제1종)(2000.08.24)[48491 ]부산광역시 남구 전선등로 34 (감만동)
56(주)경우건설박선우2015.02.09정상기계가스설비공사업, 가스시설시공업 제1종(대업종전환)가스시설공사(제1종)(2015.02.09)[48531]부산광역시 남구 신선로447번길 71 (대연동)
67(주)고성관광개발박광환2012.09.03정상조경식재ㆍ시설물공사업, 조경식재공사업(대업종전환)조경식재공사(2012.09.03)[48475 ]부산광역시 남구 자성로 152 한일오피스텔 810 (문현동)
78(주)광덕창호산업김필권2005.03.29정상금속창호ㆍ지붕건축물조립공사업, 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)금속구조물ㆍ창호ㆍ온실공사(2005.03.29)[48431]부산광역시 남구 수영로325번길 159-38 (대연동)
89(주)광토건설백성효2002.07.03정상상ㆍ하수도설비공사업, 철근ㆍ콘크리트공사업(자진반납), 상ㆍ하수도설비공사업(대업종전환)상ㆍ하수도설비공사(1989.12.14)[48499 ]부산광역시 남구 수영로 282 현대오피스텔 605호 (대연동)
910(주)국보에너지이성훈2013.06.04정상기계가스설비공사업, 가스시설시공업 제1종(대업종전환)가스시설공사(제1종)(2013.06.04)[48429]부산광역시 남구 진남로64번길 35， 1층(대연동,대영그린빌) (대연동)
연번상호대표자업체등록일자업체상태업종주력분야우편번호(도로명주소)영업소재지(도로명주소)
225226티제이이엔씨(주)안춘희2019.07.31정상기계가스설비공사업, 기계설비공사업(대업종전환)기계설비공사(2019.07.31)[48457]부산광역시 남구 수영로 74-5 지하층 B136호 (문현동,무학프라자))
226227피앤룩스(주)고성아2020.04.23정상수중ㆍ준설공사업, 수중공사업(대업종전환)수중공사(2020.04.23)[48547]부산광역시 남구 신선로 365 3공학관 106에이호 (용당동, 부경대학교)
227228한국공조설비공사이호출2015.02.27정상가스난방공사업, 난방시공업 제1종(대업종전환)난방공사(제1종)(2015.02.27)[48417 ]부산광역시 남구 고동골로72번길 32 (문현동, 1층)
228229한국씨앤이주식회사이서진2017.06.23정상시설물유지관리업<NA>[48438]부산광역시 남구 못골로53번길 45 (대연동)
229230한하테크니션하윤정2020.01.31정상가스난방공사업, 가스시설시공업 제2종(대업종전환)가스시설공사(제2종)(2020.01.31)[48418]부산광역시 남구 수영로39번길 66 1층, 대성쎌틱에너시스 (문현동)
230231한화승강기(주)박진철2017.02.27정상승강기ㆍ삭도공사업, 승강기설치공사업(대업종전환)승강기설치공사(2017.02.27)[48518]부산광역시 남구 신선로 460-1, 3층 (대연동)
231232합자회사기경건설황봉욱1983.12.26정상상ㆍ하수도설비공사업, 철근ㆍ콘크리트공사업(폐업), 토공사업(자진반납), 상ㆍ하수도설비공사업(대업종전환)상ㆍ하수도설비공사(1983.12.26)[48494]부산광역시 남구 유엔로 131 (대연동)
232233해송이앤씨주식회사박인경2016.09.30정상지반조성ㆍ포장공사업, 상ㆍ하수도설비공사업, 철근ㆍ콘크리트공사업(폐업), 상ㆍ하수도설비공사업(대업종전환), 포장공사업(대업종전환)포장공사(2021.07.12), 상ㆍ하수도설비공사(1998.08.24)[48508]부산광역시 남구 수영로 312， 734호 (대연동)
233234해인설비이상준2002.12.02정상가스난방공사업, 가스시설시공업 제3종(폐업), 난방시공업 제2종(대업종전환)난방공사(제2종)(1999.06.09)[48569 ]부산광역시 남구 용호로178번길 29 (용호동)
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