Overview

Dataset statistics

Number of variables10
Number of observations49
Missing cells5
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory84.7 B

Variable types

Numeric2
Text7
Categorical1

Dataset

Description울산광역시의 건설기술용영업 등록현황으로 업체명, 소재지, 전화번호, 팩스, 대표자, 등록번호, 등록일자, 전문분야 정보를 제공
URLhttps://www.data.go.kr/data/15047630/fileData.do

Alerts

사무실 면적(제곱미터) has 1 (2.0%) missing valuesMissing
자본금(억원) has 4 (8.2%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
소재지 has unique valuesUnique
대표자 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:02:34.685828
Analysis finished2023-12-12 22:02:36.144924
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T07:02:36.219699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-13T07:02:36.348624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

상호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:02:36.578519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.9591837
Min length3

Characters and Unicode

Total characters488
Distinct characters106
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row㈜성지토목기술공사
2nd row㈜동남종합감리공단건축사사무소
3rd row㈜대흥종합엔지니어링건축사사무소
4th row태성플랜트검정(주)
5th row씨엠엔지니어링㈜
ValueCountFrequency (%)
주식회사 23
31.1%
㈜성지토목기술공사 1
 
1.4%
이로엔지니어링 1
 
1.4%
힐티엔지니어링㈜ 1
 
1.4%
대건 1
 
1.4%
부명엔지니어링 1
 
1.4%
오름구조안전기술원 1
 
1.4%
주식회사세아구조안전기술 1
 
1.4%
하람엔지니어링 1
 
1.4%
조식회사 1
 
1.4%
Other values (42) 42
56.8%
2023-12-13T07:02:36.946670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
7.6%
25
 
5.1%
25
 
5.1%
25
 
5.1%
25
 
5.1%
20
 
4.1%
20
 
4.1%
19
 
3.9%
15
 
3.1%
15
 
3.1%
Other values (96) 262
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
90.2%
Space Separator 25
 
5.1%
Other Symbol 19
 
3.9%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
8.4%
25
 
5.7%
25
 
5.7%
25
 
5.7%
20
 
4.5%
20
 
4.5%
15
 
3.4%
15
 
3.4%
15
 
3.4%
10
 
2.3%
Other values (92) 233
53.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Symbol
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
94.1%
Common 29
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
8.1%
25
 
5.4%
25
 
5.4%
25
 
5.4%
20
 
4.4%
20
 
4.4%
19
 
4.1%
15
 
3.3%
15
 
3.3%
15
 
3.3%
Other values (93) 243
52.9%
Common
ValueCountFrequency (%)
25
86.2%
( 2
 
6.9%
) 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
90.2%
ASCII 29
 
5.9%
None 19
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
 
8.4%
25
 
5.7%
25
 
5.7%
25
 
5.7%
20
 
4.5%
20
 
4.5%
15
 
3.4%
15
 
3.4%
15
 
3.4%
10
 
2.3%
Other values (92) 233
53.0%
ASCII
ValueCountFrequency (%)
25
86.2%
( 2
 
6.9%
) 2
 
6.9%
None
ValueCountFrequency (%)
19
100.0%

소재지
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:02:37.217463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length71
Mean length64.489796
Min length57

Characters and Unicode

Total characters3160
Distinct characters125
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row울산광역시 울주군 청량읍 군청3길 12, 3층(Tel 052-268-6778 / Fax 052-268-6898)
2nd row울산광역시 남구 신정로 114(신정동)(Tel 052-258-6500 / Fex 052-267-9554)
3rd row울산광역시 남구 두왕로322번길 6-7(신정동)(Tel 052-271-9860 / Fax 052-268-9861)
4th row울산광역시 남구 신두왕로 21(두왕동)(Tel 052-256-8767 / Fax 052-256-8768)
5th row울산광역시 울주군 청량읍 온산로 342-11(Tel 052-269-6477 / Fax 052-271-4607)
ValueCountFrequency (%)
울산광역시 49
 
10.8%
49
 
10.8%
fax 48
 
10.6%
울주군 24
 
5.3%
남구 17
 
3.8%
범서읍 9
 
2.0%
청량읍 7
 
1.5%
중구 5
 
1.1%
삼남읍 4
 
0.9%
구영로 4
 
0.9%
Other values (219) 237
52.3%
2023-12-13T07:02:37.616616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
12.8%
2 260
 
8.2%
- 213
 
6.7%
0 196
 
6.2%
5 163
 
5.2%
1 110
 
3.5%
7 100
 
3.2%
) 87
 
2.8%
9 79
 
2.5%
6 79
 
2.5%
Other values (115) 1468
46.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1200
38.0%
Other Letter 801
25.3%
Space Separator 405
 
12.8%
Dash Punctuation 213
 
6.7%
Lowercase Letter 196
 
6.2%
Uppercase Letter 100
 
3.2%
Close Punctuation 87
 
2.8%
Open Punctuation 79
 
2.5%
Other Punctuation 79
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
75
 
9.4%
61
 
7.6%
50
 
6.2%
49
 
6.1%
49
 
6.1%
34
 
4.2%
34
 
4.2%
30
 
3.7%
29
 
3.6%
27
 
3.4%
Other values (91) 363
45.3%
Decimal Number
ValueCountFrequency (%)
2 260
21.7%
0 196
16.3%
5 163
13.6%
1 110
9.2%
7 100
 
8.3%
9 79
 
6.6%
6 79
 
6.6%
3 78
 
6.5%
8 74
 
6.2%
4 61
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 50
25.5%
x 49
25.0%
l 49
25.0%
a 48
24.5%
Uppercase Letter
ValueCountFrequency (%)
T 49
49.0%
F 49
49.0%
O 1
 
1.0%
S 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 49
62.0%
, 30
38.0%
Space Separator
ValueCountFrequency (%)
405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2063
65.3%
Hangul 801
 
25.3%
Latin 296
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
75
 
9.4%
61
 
7.6%
50
 
6.2%
49
 
6.1%
49
 
6.1%
34
 
4.2%
34
 
4.2%
30
 
3.7%
29
 
3.6%
27
 
3.4%
Other values (91) 363
45.3%
Common
ValueCountFrequency (%)
405
19.6%
2 260
12.6%
- 213
10.3%
0 196
9.5%
5 163
7.9%
1 110
 
5.3%
7 100
 
4.8%
) 87
 
4.2%
9 79
 
3.8%
6 79
 
3.8%
Other values (6) 371
18.0%
Latin
ValueCountFrequency (%)
e 50
16.9%
x 49
16.6%
T 49
16.6%
l 49
16.6%
F 49
16.6%
a 48
16.2%
O 1
 
0.3%
S 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2359
74.7%
Hangul 801
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
17.2%
2 260
 
11.0%
- 213
 
9.0%
0 196
 
8.3%
5 163
 
6.9%
1 110
 
4.7%
7 100
 
4.2%
) 87
 
3.7%
9 79
 
3.3%
6 79
 
3.3%
Other values (14) 667
28.3%
Hangul
ValueCountFrequency (%)
75
 
9.4%
61
 
7.6%
50
 
6.2%
49
 
6.1%
49
 
6.1%
34
 
4.2%
34
 
4.2%
30
 
3.7%
29
 
3.6%
27
 
3.4%
Other values (91) 363
45.3%

대표자
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:02:37.841105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.3469388
Min length2

Characters and Unicode

Total characters164
Distinct characters77
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row정석준
2nd row윤승문, 이창열
3rd row정태석
4th row양승호
5th row이준용
ValueCountFrequency (%)
정석준 1
 
1.9%
윤승문 1
 
1.9%
박순재 1
 
1.9%
유교식 1
 
1.9%
박명제 1
 
1.9%
손찬영 1
 
1.9%
박대준 1
 
1.9%
정병찬 1
 
1.9%
임소영 1
 
1.9%
변영이 1
 
1.9%
Other values (42) 42
80.8%
2023-12-13T07:02:38.197692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.7%
9
 
5.5%
8
 
4.9%
8
 
4.9%
6
 
3.7%
6
 
3.7%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
Other values (67) 99
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
96.3%
Space Separator 3
 
1.8%
Other Punctuation 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
7.0%
9
 
5.7%
8
 
5.1%
8
 
5.1%
6
 
3.8%
6
 
3.8%
5
 
3.2%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (65) 93
58.9%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
96.3%
Common 6
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
7.0%
9
 
5.7%
8
 
5.1%
8
 
5.1%
6
 
3.8%
6
 
3.8%
5
 
3.2%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (65) 93
58.9%
Common
ValueCountFrequency (%)
3
50.0%
, 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
96.3%
ASCII 6
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
7.0%
9
 
5.7%
8
 
5.1%
8
 
5.1%
6
 
3.8%
6
 
3.8%
5
 
3.2%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (65) 93
58.9%
ASCII
ValueCountFrequency (%)
3
50.0%
, 3
50.0%

등록번호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:02:38.420723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.7959184
Min length7

Characters and Unicode

Total characters382
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row울산-2-1호
2nd row울산-2-2호
3rd row울산-2-3호
4th row울산-2-4호
5th row울산-2-5호
ValueCountFrequency (%)
울산-2-1호 1
 
2.0%
울산-2-42호 1
 
2.0%
울산-2-46호 1
 
2.0%
울산-2-47호 1
 
2.0%
울산-2-51호 1
 
2.0%
울산-2-52호 1
 
2.0%
울산-2-53호 1
 
2.0%
울산-2-54호 1
 
2.0%
울산-2-55호 1
 
2.0%
울산-2-50호 1
 
2.0%
Other values (39) 39
79.6%
2023-12-13T07:02:38.831135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
25.7%
2 55
14.4%
49
12.8%
49
12.8%
49
12.8%
3 14
 
3.7%
5 14
 
3.7%
6 13
 
3.4%
1 12
 
3.1%
4 12
 
3.1%
Other values (4) 17
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
38.5%
Decimal Number 137
35.9%
Dash Punctuation 98
25.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 55
40.1%
3 14
 
10.2%
5 14
 
10.2%
6 13
 
9.5%
1 12
 
8.8%
4 12
 
8.8%
7 6
 
4.4%
0 5
 
3.6%
9 4
 
2.9%
8 2
 
1.5%
Other Letter
ValueCountFrequency (%)
49
33.3%
49
33.3%
49
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 235
61.5%
Hangul 147
38.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
41.7%
2 55
23.4%
3 14
 
6.0%
5 14
 
6.0%
6 13
 
5.5%
1 12
 
5.1%
4 12
 
5.1%
7 6
 
2.6%
0 5
 
2.1%
9 4
 
1.7%
Hangul
ValueCountFrequency (%)
49
33.3%
49
33.3%
49
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 235
61.5%
Hangul 147
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
41.7%
2 55
23.4%
3 14
 
6.0%
5 14
 
6.0%
6 13
 
5.5%
1 12
 
5.1%
4 12
 
5.1%
7 6
 
2.6%
0 5
 
2.1%
9 4
 
1.7%
Hangul
ValueCountFrequency (%)
49
33.3%
49
33.3%
49
33.3%
Distinct43
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:02:39.064016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.918367
Min length10

Characters and Unicode

Total characters535
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)83.7%

Sample

1st row2014.07.08.
2nd row2014.07.08.
3rd row2014.07.08.
4th row2014.07.08.
5th row2014.07.08.
ValueCountFrequency (%)
2014.07.08 6
 
10.0%
2021 3
 
5.0%
4 2
 
3.3%
6 2
 
3.3%
2022 2
 
3.3%
2023.2.09 2
 
3.3%
5 1
 
1.7%
2020.12.14 1
 
1.7%
2022.11.01 1
 
1.7%
2 1
 
1.7%
Other values (39) 39
65.0%
2023-12-13T07:02:39.407434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 143
26.7%
0 105
19.6%
2 102
19.1%
1 69
12.9%
4 20
 
3.7%
8 18
 
3.4%
7 17
 
3.2%
5 16
 
3.0%
6 13
 
2.4%
3 12
 
2.2%
Other values (2) 20
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 381
71.2%
Other Punctuation 143
 
26.7%
Space Separator 11
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
27.6%
2 102
26.8%
1 69
18.1%
4 20
 
5.2%
8 18
 
4.7%
7 17
 
4.5%
5 16
 
4.2%
6 13
 
3.4%
3 12
 
3.1%
9 9
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 143
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 535
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 143
26.7%
0 105
19.6%
2 102
19.1%
1 69
12.9%
4 20
 
3.7%
8 18
 
3.4%
7 17
 
3.2%
5 16
 
3.0%
6 13
 
2.4%
3 12
 
2.2%
Other values (2) 20
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 143
26.7%
0 105
19.6%
2 102
19.1%
1 69
12.9%
4 20
 
3.7%
8 18
 
3.4%
7 17
 
3.2%
5 16
 
3.0%
6 13
 
2.4%
3 12
 
2.2%
Other values (2) 20
 
3.7%
Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
설계·사업관리(일반)
15 
설계·사업관리(설계등용역 일반)(계획.조사.설계 포함)
14 
설계·사업관리(건설사업관리)
설계·사업관리(설계등용역 일반)(계획.조사.설계 제외)
설계·사업관리(설계등 용역 일반)
Other values (3)

Length

Max length30
Median length18
Mean length19.346939
Min length11

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row설계·사업관리(일반)
2nd row설계·사업관리(일반)
3rd row설계·사업관리(일반)
4th row설계·사업관리(건설사업관리)
5th row설계·사업관리(일반)

Common Values

ValueCountFrequency (%)
설계·사업관리(일반) 15
30.6%
설계·사업관리(설계등용역 일반)(계획.조사.설계 포함) 14
28.6%
설계·사업관리(건설사업관리) 6
 
12.2%
설계·사업관리(설계등용역 일반)(계획.조사.설계 제외) 5
 
10.2%
설계·사업관리(설계등 용역 일반) 3
 
6.1%
설계·사업관리(측량) 3
 
6.1%
품질검사[특수(용접)] 2
 
4.1%
품질검사(건축, 특수) 1
 
2.0%

Length

2023-12-13T07:02:39.536759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:02:39.644020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계·사업관리(설계등용역 19
20.2%
일반)(계획.조사.설계 19
20.2%
설계·사업관리(일반 15
16.0%
포함 14
14.9%
설계·사업관리(건설사업관리 6
 
6.4%
제외 5
 
5.3%
설계·사업관리(설계등 3
 
3.2%
용역 3
 
3.2%
일반 3
 
3.2%
설계·사업관리(측량 3
 
3.2%
Other values (3) 4
 
4.3%
Distinct43
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:02:39.837206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.040816
Min length9

Characters and Unicode

Total characters982
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)83.7%

Sample

1st row특급기술자 : 14명건설기술자 : 08명
2nd row특급기술자 : 84명건설기술자 : 49명
3rd row특급기술자 : 86명건설기술자 : 28명
4th row특급기술자 : 06명건설기술자 : 06명
5th row특급기술자 : 06명건설기술자 : 09명
ValueCountFrequency (%)
96
39.8%
특급기술자 41
17.0%
1명고급이하 11
 
4.6%
4명 7
 
2.9%
2명고급이하 7
 
2.9%
특급기술인 6
 
2.5%
6명 5
 
2.1%
14명 4
 
1.7%
3명고급이하 4
 
1.7%
13명 3
 
1.2%
Other values (36) 57
23.7%
2023-12-13T07:02:40.151689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
20.5%
: 96
9.8%
96
9.8%
76
 
7.7%
67
 
6.8%
67
 
6.8%
60
 
6.1%
47
 
4.8%
1 30
 
3.1%
29
 
3.0%
Other values (15) 213
21.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547
55.7%
Space Separator 201
 
20.5%
Decimal Number 138
 
14.1%
Other Punctuation 96
 
9.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
96
17.6%
76
13.9%
67
12.2%
67
12.2%
60
11.0%
47
8.6%
29
 
5.3%
29
 
5.3%
28
 
5.1%
20
 
3.7%
Other values (3) 28
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 30
21.7%
0 21
15.2%
2 20
14.5%
4 17
12.3%
6 14
10.1%
3 12
 
8.7%
8 11
 
8.0%
9 6
 
4.3%
5 5
 
3.6%
7 2
 
1.4%
Space Separator
ValueCountFrequency (%)
201
100.0%
Other Punctuation
ValueCountFrequency (%)
: 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
55.7%
Common 435
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
96
17.6%
76
13.9%
67
12.2%
67
12.2%
60
11.0%
47
8.6%
29
 
5.3%
29
 
5.3%
28
 
5.1%
20
 
3.7%
Other values (3) 28
 
5.1%
Common
ValueCountFrequency (%)
201
46.2%
: 96
22.1%
1 30
 
6.9%
0 21
 
4.8%
2 20
 
4.6%
4 17
 
3.9%
6 14
 
3.2%
3 12
 
2.8%
8 11
 
2.5%
9 6
 
1.4%
Other values (2) 7
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 547
55.7%
ASCII 435
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
46.2%
: 96
22.1%
1 30
 
6.9%
0 21
 
4.8%
2 20
 
4.6%
4 17
 
3.9%
6 14
 
3.2%
3 12
 
2.8%
8 11
 
2.5%
9 6
 
1.4%
Other values (2) 7
 
1.6%
Hangul
ValueCountFrequency (%)
96
17.6%
76
13.9%
67
12.2%
67
12.2%
60
11.0%
47
8.6%
29
 
5.3%
29
 
5.3%
28
 
5.1%
20
 
3.7%
Other values (3) 28
 
5.1%
Distinct48
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size524.0 B
2023-12-13T07:02:40.389946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length4.8333333
Min length2

Characters and Unicode

Total characters232
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row400
2nd row340.58
3rd row934.98
4th row201.3
5th row68.07
ValueCountFrequency (%)
400 1
 
2.1%
340.58 1
 
2.1%
169.45 1
 
2.1%
188.1 1
 
2.1%
222.46 1
 
2.1%
203.255 1
 
2.1%
192.06 1
 
2.1%
134.92 1
 
2.1%
240 1
 
2.1%
28 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T07:02:40.825496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
15.1%
. 33
14.2%
2 26
11.2%
4 19
8.2%
8 19
8.2%
3 18
7.8%
5 18
7.8%
0 17
7.3%
6 17
7.3%
9 12
 
5.2%
Other values (9) 18
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
82.3%
Other Punctuation 33
 
14.2%
Other Letter 8
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
18.3%
2 26
13.6%
4 19
9.9%
8 19
9.9%
3 18
9.4%
5 18
9.4%
0 17
8.9%
6 17
8.9%
9 12
 
6.3%
7 10
 
5.2%
Other Letter
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
96.6%
Hangul 8
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
15.6%
. 33
14.7%
2 26
11.6%
4 19
8.5%
8 19
8.5%
3 18
8.0%
5 18
8.0%
0 17
7.6%
6 17
7.6%
9 12
 
5.4%
Hangul
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
96.6%
Hangul 8
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
15.6%
. 33
14.7%
2 26
11.6%
4 19
8.5%
8 19
8.5%
3 18
8.0%
5 18
8.0%
0 17
7.6%
6 17
7.6%
9 12
 
5.4%
Hangul
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

자본금(억원)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)44.4%
Missing4
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean4.4811111
Minimum0.1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T07:02:41.033998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q11
median2
Q35
95-th percentile18.6
Maximum31
Range30.9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.8019657
Coefficient of variation (CV)1.5179194
Kurtosis8.817434
Mean4.4811111
Median Absolute Deviation (MAD)1.4
Skewness2.9419067
Sum201.65
Variance46.266737
MonotonicityNot monotonic
2023-12-13T07:02:41.193110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2.0 13
26.5%
0.5 6
12.2%
10.0 3
 
6.1%
1.0 3
 
6.1%
6.0 2
 
4.1%
5.0 2
 
4.1%
1.5 2
 
4.1%
0.6 2
 
4.1%
0.1 1
 
2.0%
1.7 1
 
2.0%
Other values (10) 10
20.4%
(Missing) 4
 
8.2%
ValueCountFrequency (%)
0.1 1
 
2.0%
0.5 6
12.2%
0.6 2
 
4.1%
0.8 1
 
2.0%
1.0 3
 
6.1%
1.5 2
 
4.1%
1.7 1
 
2.0%
2.0 13
26.5%
2.5 1
 
2.0%
3.6 1
 
2.0%
ValueCountFrequency (%)
31.0 1
 
2.0%
29.9 1
 
2.0%
20.75 1
 
2.0%
10.0 3
6.1%
8.5 1
 
2.0%
6.5 1
 
2.0%
6.0 2
4.1%
5.0 2
4.1%
4.1 1
 
2.0%
4.0 1
 
2.0%

Interactions

2023-12-13T07:02:35.374109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:35.201073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:35.713352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:35.277510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:02:41.324239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호소재지대표자등록번호등록일자전문분야(세부분야)기술인력사무실 면적(제곱미터)자본금(억원)
연번1.0001.0001.0001.0001.0000.9810.5410.8561.0000.590
상호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록일자0.9811.0001.0001.0001.0001.0000.9710.0001.0000.000
전문분야(세부분야)0.5411.0001.0001.0001.0000.9711.0000.9821.0000.418
기술인력0.8561.0001.0001.0001.0000.0000.9821.0001.0000.901
사무실 면적(제곱미터)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
자본금(억원)0.5901.0001.0001.0001.0000.0000.4180.9011.0001.000
2023-12-13T07:02:41.482766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번자본금(억원)전문분야(세부분야)
연번1.000-0.2030.272
자본금(억원)-0.2031.0000.153
전문분야(세부분야)0.2720.1531.000

Missing values

2023-12-13T07:02:35.816470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:02:35.955067image/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.
2023-12-13T07:02:36.078493image/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

연번상호소재지대표자등록번호등록일자전문분야(세부분야)기술인력사무실 면적(제곱미터)자본금(억원)
01㈜성지토목기술공사울산광역시 울주군 청량읍 군청3길 12, 3층(Tel 052-268-6778 / Fax 052-268-6898)정석준울산-2-1호2014.07.08.설계·사업관리(일반)특급기술자 : 14명건설기술자 : 08명4008.5
12㈜동남종합감리공단건축사사무소울산광역시 남구 신정로 114(신정동)(Tel 052-258-6500 / Fex 052-267-9554)윤승문, 이창열울산-2-2호2014.07.08.설계·사업관리(일반)특급기술자 : 84명건설기술자 : 49명340.586.5
23㈜대흥종합엔지니어링건축사사무소울산광역시 남구 두왕로322번길 6-7(신정동)(Tel 052-271-9860 / Fax 052-268-9861)정태석울산-2-3호2014.07.08.설계·사업관리(일반)특급기술자 : 86명건설기술자 : 28명934.986.0
34태성플랜트검정(주)울산광역시 남구 신두왕로 21(두왕동)(Tel 052-256-8767 / Fax 052-256-8768)양승호울산-2-4호2014.07.08.설계·사업관리(건설사업관리)특급기술자 : 06명건설기술자 : 06명201.35.0
45씨엠엔지니어링㈜울산광역시 울주군 청량읍 온산로 342-11(Tel 052-269-6477 / Fax 052-271-4607)이준용울산-2-5호2014.07.08.설계·사업관리(일반)특급기술자 : 06명건설기술자 : 09명68.072.5
56삼두종합기술㈜울산광역시 남구 테크로산업로26번길 76(두왕동)(Tel 052-266-0661 / Fax 052-275-3916)최영수울산-2-6호2014.07.08.설계·사업관리(일반)특급기술자 : 02명건설기술자 : 16명984.022.0
67㈜한림이앤씨건축사사무소울산광역시 남구 삼호로 7번길 39(무거동, 한림빌딩)(Tel 052-277-0163 / Fax 052-277-0168)윤찬중울산-2-9호2014.09.26.설계·사업관리(건설사업관리)특급기술자 : 118명건설기술자 : 21명73.926.0
78㈜한신엔지니어링울산광역시 울주군 삼남읍 향교로 164, 202호(울산교동리슈빌아파트상가)(Tel 052-257-7511 / Fax 052-257-7517)김창윤울산-2-10호2014.10.02.설계·사업관리(일반)특급기술자 : 23명건설기술자 : 14명204.952.0
89㈜코인텍울산광역시 울주군 웅촌면 웅촌로 642-6(Tel 052-249-1094 / Fax 052-249-1960)이승우울산-3-2호2015.11.24.품질검사[특수(용접)]특급기술자 : 00명건설기술자 : 05명163.5<NA>
910㈜부광엔지니어링울산광역시 울주군 범서읍 구영로 162, 3층(규진빌딩)(Tel 052-266-0081 / Fax 052-261-8558)김창규울산-2-14호2015.04.28.설계·사업관리(일반)특급기술자 : 08명건설기술자 : 09명511.72.0
연번상호소재지대표자등록번호등록일자전문분야(세부분야)기술인력사무실 면적(제곱미터)자본금(억원)
3940주식회사 케이디엠텍울산광역시 울주군 온산읍 화산2길 11(Tel 052-703-1008 / Fax 052-703-1090)정원군울산-2-63호2021.11.25.설계·사업관리(설계등용역 일반)(계획.조사.설계 제외)특급기술자 : 1명고급이하 : 7명3263.210.0
4041주식회사 쌈지조경울산광역시 중구 성안10길 21, 2층(성안동)(Tel 052-243-2921 / Fax 052-243-2918)박정민울산-2-64호2021.12.31.설계·사업관리(설계등용역 일반)(계획.조사.설계 포함)특급기술자 : 1명고급이하 : 4명132.0910.0
4142재영이엔씨 주식회사울산광역시 울주군 범서읍 구영로 162, 201호(Tel 052-710-5008 / Fax 052-710-5009)이재호울산-2-65호2021. 6. 11.설계·사업관리(설계등용역 일반)(계획.조사.설계 포함)특급기술자 : 1명고급이하 : 4명148.510.8
4243정토이앤씨건축사사무소 주식회사울산광역시 남구 삼산로45번길 30, 상가동 비112호(신정동, 이안신정)(Tel 052-269-5055 / Fax 052-269-5058)김영후울산-2-66호2022. 4. 4.설계·사업관리(건설사업관리)특급기술인 : 1명고급이하 : 9명181.610.0
4344주식회사 태성건설울산광역시 남구 왕생로 167번길 10(삼산동)(Tel 052-266-8800 / Fax 052-273-5059)박성우울산-2-67호2022. 5. 24설계·사업관리(건설사업관리)특급기술인 : 2명고급이하 : 8명15520.75
4445현대기술검사 주식회사울산광역시 북구 사청7길 10(화봉동)(Tel 052-285-4381) / Fax 052-285-4382)김두환울산-3-3호2022.11.01품질검사[특수(용접)]건설기술인 : 15명174.5<NA>
4546주식회사 한동이엔지울산광역시 울주군 청량읍 율리영해로 75-12, 1층(Tel 052-247-8200) / Fax 052-247-8201)한동우울산-2-68호2023.1.25.설계·사업관리(설계등용역 일반)(계획.조사.설계 포함)특급기술인 : 3명고급이하 : 2명60.760.6
4647주식회사 명성엔지니어링울산광역시 울주군 청량읍 율리영해로 75-12, 5층(구영리)(Tel 052-225-0327) / Fax 052-225-3685)이승림울산-2-69호2023.2.09.설계·사업관리(일반)특급기술인 : 6명고급이하 : 12명270.482.0
4748주식회사 태민엔지니어링울산광역시 남구 테코노산업로55번길, 49-22, 203호(두왕동)Tel 052-261-7479) / Fax 052-261-7480)박병태울산-2-70호2023.2.09.설계·사업관리(건설사업관리)특급기술인 : 3명고급이하 : 7명88.121.7
4849주식회사 위드이엔씨울산광역시 남구 신정로 136, 3층(신청동)Tel 052-275-3332) / Fax 052-276-3339)이창희울산-2-71호2023.5.12.설계·사업관리(설계등용역 일반)(계획.조사.설계 포함)특급기술인 : 2명고급이하 : 3명161.051.5