Overview

Dataset statistics

Number of variables8
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory67.8 B

Variable types

Numeric2
Text5
Categorical1

Dataset

Description경상남도 김해시에 등록한 종합건설업 업체현황입니다. 경상남도 김해시 종합건설업 업체에 대한 데이터로 업종, 업체명, 전화번호, 주소의 항목을 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15126771/fileData.do

Alerts

연번 is highly overall correlated with 근로자 수High correlation
근로자 수 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:17:20.322038
Analysis finished2024-03-14 23:17:23.550345
Duration3.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.0 B
2024-03-15T08:17:23.680405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2024-03-15T08:17:24.054361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

회사명
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size712.0 B
2024-03-15T08:17:24.922831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.2328767
Min length2

Characters and Unicode

Total characters455
Distinct characters143
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

Unique71 ?
Unique (%)97.3%

Sample

1st row(주)동성티씨에스
2nd row(주)성일
3rd row(주)월드튜브
4th row(주)신흥
5th row(주)신화산업
ValueCountFrequency (%)
주식회사 3
 
3.9%
일흥이엔지 2
 
2.6%
고운석재(주 1
 
1.3%
주)디씨에프트랙제2공장 1
 
1.3%
대웅산업 1
 
1.3%
주)태백 1
 
1.3%
대호건설기계 1
 
1.3%
에스구조 1
 
1.3%
동진산업 1
 
1.3%
대신선재공업사 1
 
1.3%
Other values (63) 63
82.9%
2024-03-15T08:17:26.292007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
7.9%
( 28
 
6.2%
) 28
 
6.2%
업 20
 
4.4%
산 20
 
4.4%
이 10
 
2.2%
사 10
 
2.2%
성 9
 
2.0%
스 8
 
1.8%
공 8
 
1.8%
Other values (133) 278
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
85.1%
Open Punctuation 29
 
6.4%
Close Punctuation 29
 
6.4%
Uppercase Letter 4
 
0.9%
Space Separator 3
 
0.7%
Other Symbol 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
9.3%
업 20
 
5.2%
산 20
 
5.2%
이 10
 
2.6%
사 10
 
2.6%
성 9
 
2.3%
스 8
 
2.1%
공 8
 
2.1%
회 7
 
1.8%
식 7
 
1.8%
Other values (122) 252
65.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
E 1
25.0%
N 1
25.0%
G 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 28
96.6%
（ 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 28
96.6%
） 1
 
3.4%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
85.5%
Common 62
 
13.6%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
9.3%
업 20
 
5.1%
산 20
 
5.1%
이 10
 
2.6%
사 10
 
2.6%
성 9
 
2.3%
스 8
 
2.1%
공 8
 
2.1%
회 7
 
1.8%
식 7
 
1.8%
Other values (123) 254
65.3%
Common
ValueCountFrequency (%)
( 28
45.2%
) 28
45.2%
3
 
4.8%
） 1
 
1.6%
2 1
 
1.6%
（ 1
 
1.6%
Latin
ValueCountFrequency (%)
W 1
25.0%
E 1
25.0%
N 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
85.1%
ASCII 64
 
14.1%
None 4
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
9.3%
업 20
 
5.2%
산 20
 
5.2%
이 10
 
2.6%
사 10
 
2.6%
성 9
 
2.3%
스 8
 
2.1%
공 8
 
2.1%
회 7
 
1.8%
식 7
 
1.8%
Other values (122) 252
65.1%
ASCII
ValueCountFrequency (%)
( 28
43.8%
) 28
43.8%
3
 
4.7%
W 1
 
1.6%
2 1
 
1.6%
E 1
 
1.6%
N 1
 
1.6%
G 1
 
1.6%
None
ValueCountFrequency (%)
㈜ 2
50.0%
） 1
25.0%
（ 1
25.0%

대표자명
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size712.0 B
2024-03-15T08:17:27.295805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.109589
Min length3

Characters and Unicode

Total characters227
Distinct characters97
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

Unique71 ?
Unique (%)97.3%

Sample

1st row곽경구
2nd row김성진
3rd row설경숙
4th row손태도
5th row빈덕일
ValueCountFrequency (%)
김관락 2
 
2.7%
송중훈 1
 
1.3%
김기수 1
 
1.3%
김수동 1
 
1.3%
김타이거 1
 
1.3%
신외선 1
 
1.3%
이동진 1
 
1.3%
이숙조 1
 
1.3%
정욱동 1
 
1.3%
김병기 1
 
1.3%
Other values (64) 64
85.3%
2024-03-15T08:17:28.583363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 20
 
8.8%
현 8
 
3.5%
이 8
 
3.5%
박 7
 
3.1%
수 7
 
3.1%
경 6
 
2.6%
권 6
 
2.6%
동 5
 
2.2%
영 5
 
2.2%
순 5
 
2.2%
Other values (87) 150
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
98.2%
Space Separator 2
 
0.9%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 20
 
9.0%
현 8
 
3.6%
이 8
 
3.6%
박 7
 
3.1%
수 7
 
3.1%
경 6
 
2.7%
권 6
 
2.7%
동 5
 
2.2%
영 5
 
2.2%
순 5
 
2.2%
Other values (85) 146
65.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
98.2%
Common 4
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 20
 
9.0%
현 8
 
3.6%
이 8
 
3.6%
박 7
 
3.1%
수 7
 
3.1%
경 6
 
2.7%
권 6
 
2.7%
동 5
 
2.2%
영 5
 
2.2%
순 5
 
2.2%
Other values (85) 146
65.5%
Common
ValueCountFrequency (%)
2
50.0%
1 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
98.2%
ASCII 4
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 20
 
9.0%
현 8
 
3.6%
이 8
 
3.6%
박 7
 
3.1%
수 7
 
3.1%
경 6
 
2.7%
권 6
 
2.7%
동 5
 
2.2%
영 5
 
2.2%
순 5
 
2.2%
Other values (85) 146
65.5%
ASCII
ValueCountFrequency (%)
2
50.0%
1 2
50.0%

전화번호
Text

Distinct61
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size712.0 B
2024-03-15T08:17:29.335307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.178082
Min length12

Characters and Unicode

Total characters889
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

Unique60 ?
Unique (%)82.2%

Sample

1st row055-340-7502
2nd row055-346-1490
3rd row055-345-9001
4th row055-712-9587
5th row055-323-9435
ValueCountFrequency (%)
010 13
 
17.8%
055-340-7502 1
 
1.4%
051-804-5877 1
 
1.4%
055-335-2351 1
 
1.4%
055-724-3386 1
 
1.4%
055-321-2835 1
 
1.4%
055-724-0603 1
 
1.4%
055-346-1219 1
 
1.4%
055-332-6550 1
 
1.4%
055-345-8783 1
 
1.4%
Other values (51) 51
69.9%
2024-03-15T08:17:30.675464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 153
17.2%
- 146
16.4%
0 125
14.1%
3 105
11.8%
* 104
11.7%
2 54
 
6.1%
1 44
 
4.9%
4 43
 
4.8%
7 38
 
4.3%
8 28
 
3.1%
Other values (2) 49
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 639
71.9%
Dash Punctuation 146
 
16.4%
Other Punctuation 104
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 153
23.9%
0 125
19.6%
3 105
16.4%
2 54
 
8.5%
1 44
 
6.9%
4 43
 
6.7%
7 38
 
5.9%
8 28
 
4.4%
6 25
 
3.9%
9 24
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Other Punctuation
ValueCountFrequency (%)
* 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 889
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 153
17.2%
- 146
16.4%
0 125
14.1%
3 105
11.8%
* 104
11.7%
2 54
 
6.1%
1 44
 
4.9%
4 43
 
4.8%
7 38
 
4.3%
8 28
 
3.1%
Other values (2) 49
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 153
17.2%
- 146
16.4%
0 125
14.1%
3 105
11.8%
* 104
11.7%
2 54
 
6.1%
1 44
 
4.9%
4 43
 
4.8%
7 38
 
4.3%
8 28
 
3.1%
Other values (2) 49
 
5.5%

주소
Text

Distinct70
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size712.0 B
2024-03-15T08:17:31.990409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length15.794521
Min length11

Characters and Unicode

Total characters1153
Distinct characters80
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

Unique69 ?
Unique (%)94.5%

Sample

1st row진례면 고모로134번길 81 A동
2nd row한림면 김해대로1031번길 20 C동
3rd row진례면 테크노밸리로 121
4th row한림면 한림로 176 (주)에스엠씨
5th row생림면 나전로161번길 135
ValueCountFrequency (%)
한림면 18
 
8.2%
진례면 16
 
7.3%
생림면 14
 
6.4%
상동면 11
 
5.0%
주촌면 8
 
3.6%
테크노밸리로 6
 
2.7%
121 4
 
1.8%
상동로 3
 
1.4%
고모로 3
 
1.4%
고모로134번길 2
 
0.9%
Other values (127) 135
61.4%
2024-03-15T08:17:33.948819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
19.0%
1 74
 
6.4%
로 71
 
6.2%
면 67
 
5.8%
3 51
 
4.4%
2 41
 
3.6%
림 39
 
3.4%
길 39
 
3.4%
6 38
 
3.3%
번 37
 
3.2%
Other values (70) 477
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
48.2%
Decimal Number 346
30.0%
Space Separator 219
 
19.0%
Dash Punctuation 27
 
2.3%
Uppercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 71
 
12.8%
면 67
 
12.1%
림 39
 
7.0%
길 39
 
7.0%
번 37
 
6.7%
동 27
 
4.9%
한 21
 
3.8%
진 19
 
3.4%
례 17
 
3.1%
상 17
 
3.1%
Other values (53) 202
36.3%
Decimal Number
ValueCountFrequency (%)
1 74
21.4%
3 51
14.7%
2 41
11.8%
6 38
11.0%
7 29
 
8.4%
9 25
 
7.2%
5 23
 
6.6%
4 23
 
6.6%
0 22
 
6.4%
8 20
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 594
51.5%
Hangul 556
48.2%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 71
 
12.8%
면 67
 
12.1%
림 39
 
7.0%
길 39
 
7.0%
번 37
 
6.7%
동 27
 
4.9%
한 21
 
3.8%
진 19
 
3.4%
례 17
 
3.1%
상 17
 
3.1%
Other values (53) 202
36.3%
Common
ValueCountFrequency (%)
219
36.9%
1 74
 
12.5%
3 51
 
8.6%
2 41
 
6.9%
6 38
 
6.4%
7 29
 
4.9%
- 27
 
4.5%
9 25
 
4.2%
5 23
 
3.9%
4 23
 
3.9%
Other values (4) 44
 
7.4%
Latin
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597
51.8%
Hangul 556
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
36.7%
1 74
 
12.4%
3 51
 
8.5%
2 41
 
6.9%
6 38
 
6.4%
7 29
 
4.9%
- 27
 
4.5%
9 25
 
4.2%
5 23
 
3.9%
4 23
 
3.9%
Other values (7) 47
 
7.9%
Hangul
ValueCountFrequency (%)
로 71
 
12.8%
면 67
 
12.1%
림 39
 
7.0%
길 39
 
7.0%
번 37
 
6.7%
동 27
 
4.9%
한 21
 
3.8%
진 19
 
3.4%
례 17
 
3.1%
상 17
 
3.1%
Other values (53) 202
36.3%

읍면동
Categorical

Distinct9
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size712.0 B
한림면
18 
진례면
16 
생림면
14 
상동면
11 
주촌면
8 
Other values (4)
6 

Length

Max length5
Median length3
Mean length3.0273973
Min length3

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row진례면
2nd row한림면
3rd row진례면
4th row한림면
5th row생림면

Common Values

ValueCountFrequency (%)
한림면 18
24.7%
진례면 16
21.9%
생림면 14
19.2%
상동면 11
15.1%
주촌면 8
11.0%
삼안동 2
 
2.7%
진영읍 2
 
2.7%
칠산서부동 1
 
1.4%
불암동 1
 
1.4%

Length

2024-03-15T08:17:34.430570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:17:34.772341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한림면 18
24.7%
진례면 16
21.9%
생림면 14
19.2%
상동면 11
15.1%
주촌면 8
11.0%
삼안동 2
 
2.7%
진영읍 2
 
2.7%
칠산서부동 1
 
1.4%
불암동 1
 
1.4%

주력 생산품
Text

Distinct68
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size712.0 B
2024-03-15T08:17:35.636727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length11.972603
Min length4

Characters and Unicode

Total characters874
Distinct characters161
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)89.0%

Sample

1st row자동차,건설기계,농자재(내장기계)
2nd row건축용 플라스틱(강화플라스틱)
3rd row건설 중장비 유압 배관 파이프(자동차용)
4th row목재 파렛트 수출포장재
5th row건설용 중장비 운전석
ValueCountFrequency (%)
건설용 9
 
4.8%
철구조물 8
 
4.3%
건축용 7
 
3.8%
중장비 6
 
3.2%
건설 6
 
3.2%
배관 5
 
2.7%
유압 5
 
2.7%
파이프 4
 
2.2%
h빔 4
 
2.2%
건설장비 3
 
1.6%
Other values (110) 129
69.4%
2024-03-15T08:17:37.124059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
13.4%
건 53
 
6.1%
설 38
 
4.3%
용 34
 
3.9%
장 32
 
3.7%
재 23
 
2.6%
비 23
 
2.6%
기 22
 
2.5%
철 22
 
2.5%
조 19
 
2.2%
Other values (151) 491
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
79.4%
Space Separator 117
 
13.4%
Close Punctuation 19
 
2.2%
Open Punctuation 19
 
2.2%
Other Punctuation 11
 
1.3%
Uppercase Letter 10
 
1.1%
Lowercase Letter 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 53
 
7.6%
설 38
 
5.5%
용 34
 
4.9%
장 32
 
4.6%
재 23
 
3.3%
비 23
 
3.3%
기 22
 
3.2%
철 22
 
3.2%
조 19
 
2.7%
계 16
 
2.3%
Other values (140) 412
59.4%
Uppercase Letter
ValueCountFrequency (%)
H 4
40.0%
T 2
20.0%
O 2
20.0%
C 1
 
10.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
79.4%
Common 168
 
19.2%
Latin 12
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 53
 
7.6%
설 38
 
5.5%
용 34
 
4.9%
장 32
 
4.6%
재 23
 
3.3%
비 23
 
3.3%
기 22
 
3.2%
철 22
 
3.2%
조 19
 
2.7%
계 16
 
2.3%
Other values (140) 412
59.4%
Latin
ValueCountFrequency (%)
H 4
33.3%
T 2
16.7%
h 2
16.7%
O 2
16.7%
C 1
 
8.3%
B 1
 
8.3%
Common
ValueCountFrequency (%)
117
69.6%
) 19
 
11.3%
( 19
 
11.3%
, 11
 
6.5%
- 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
79.4%
ASCII 180
 
20.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
65.0%
) 19
 
10.6%
( 19
 
10.6%
, 11
 
6.1%
H 4
 
2.2%
T 2
 
1.1%
h 2
 
1.1%
O 2
 
1.1%
- 2
 
1.1%
C 1
 
0.6%
Hangul
ValueCountFrequency (%)
건 53
 
7.6%
설 38
 
5.5%
용 34
 
4.9%
장 32
 
4.6%
재 23
 
3.3%
비 23
 
3.3%
기 22
 
3.2%
철 22
 
3.2%
조 19
 
2.7%
계 16
 
2.3%
Other values (140) 412
59.4%

근로자 수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.027397
Minimum1
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.0 B
2024-03-15T08:17:37.500371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q314
95-th percentile47.8
Maximum230
Range229
Interquartile range (IQR)11

Descriptive statistics

Standard deviation32.663253
Coefficient of variation (CV)2.1735802
Kurtosis30.165357
Mean15.027397
Median Absolute Deviation (MAD)3
Skewness5.2199606
Sum1097
Variance1066.8881
MonotonicityDecreasing
2024-03-15T08:17:37.901216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 9
12.3%
4 8
11.0%
6 7
9.6%
2 6
 
8.2%
1 5
 
6.8%
5 5
 
6.8%
15 5
 
6.8%
8 4
 
5.5%
9 4
 
5.5%
13 3
 
4.1%
Other values (15) 17
23.3%
ValueCountFrequency (%)
1 5
6.8%
2 6
8.2%
3 9
12.3%
4 8
11.0%
5 5
6.8%
6 7
9.6%
7 1
 
1.4%
8 4
5.5%
9 4
5.5%
10 1
 
1.4%
ValueCountFrequency (%)
230 1
1.4%
153 1
1.4%
70 1
1.4%
49 1
1.4%
47 1
1.4%
28 1
1.4%
27 1
1.4%
24 1
1.4%
23 2
2.7%
21 1
1.4%

Interactions

2024-03-15T08:17:22.888450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:17:22.493852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:17:23.059659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:17:22.744155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:17:38.156233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회사명대표자명전화번호주소읍면동주력 생산품근로자 수
연번1.0000.9480.9480.6860.9010.0000.8130.506
회사명0.9481.0001.0000.9900.9941.0001.0001.000
대표자명0.9481.0001.0000.9900.9941.0001.0001.000
전화번호0.6860.9900.9901.0000.9980.9450.9921.000
주소0.9010.9940.9940.9981.0001.0000.9990.000
읍면동0.0001.0001.0000.9451.0001.0001.0000.000
주력 생산품0.8131.0001.0000.9920.9991.0001.0000.878
근로자 수0.5061.0001.0001.0000.0000.0000.8781.000
2024-03-15T08:17:38.446219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번근로자 수읍면동
연번1.000-0.9970.000
근로자 수-0.9971.0000.000
읍면동0.0000.0001.000

Missing values

2024-03-15T08:17:23.243051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:17:23.465298image/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

연번회사명대표자명전화번호주소읍면동주력 생산품근로자 수
01(주)동성티씨에스곽경구055-340-7502진례면 고모로134번길 81 A동진례면자동차,건설기계,농자재(내장기계)230
12(주)성일김성진055-346-1490한림면 김해대로1031번길 20 C동한림면건축용 플라스틱(강화플라스틱)153
23(주)월드튜브설경숙055-345-9001진례면 테크노밸리로 121진례면건설 중장비 유압 배관 파이프(자동차용)70
34(주)신흥손태도055-712-9587한림면 한림로 176 (주)에스엠씨한림면목재 파렛트 수출포장재49
45(주)신화산업빈덕일055-323-9435생림면 나전로161번길 135생림면건설용 중장비 운전석47
56주식회사리노펙원명수055-338-7703주촌면 소망길 82주촌면건축용 가전용 증착 필름, 자동차 부품용 흡음 패드28
67선봉유압기계(주)김재규055-342-6475진례면 테크노밸리1로 196-16진례면건설 중장비 유압 배관 파이프27
78봉림금속(주)박권욱055-310-6871생림면 봉림로 115-80생림면중장비부품 링크제조24
89(주)아산목재박경량055-331-8591생림면 생림대로669번길 17생림면건축용자재, 수출포장재 외23
910가교산업(주)박호근055-345-3314생림면 나전2산단길 27-18생림면건설기자재(안전가설재 ,안전문)23
연번회사명대표자명전화번호주소읍면동주력 생산품근로자 수
6364현성산업허은주055-342-8001한림면 김해대로 936한림면건설용 리프트 제작2
6465한테크한승보010-****-****한림면 김해대로927번길 64한림면건설용기계부품 절곡,가공2
6566화인산업개발(주)김순자010-****-****한림면 김해대로1099번길 44-1한림면건축공사용 철구조물2
6667원진목재문양환055-345-2378진례면 고모로 713진례면건축용 지주2
6768일흥이엔지김관락055-724-0090상동면 상동로 716상동면건설용 채광기계장비2
6869화영산업조성권055-338-6835주촌면 골든루트로130번길 85주촌면철근 연결 부품 -카풀링 이음쇠1
6970우성공업사황영곤010-****-****상동면 상동로685번길 129상동면건설용 장비기계 수리1
7071광오상사김수광010-****-****주촌면 서부로1499번길 68-40주촌면건설기계 장비 수리1
7172주식회사 리베로우드정세정055-346-2341진영읍 서부로378번길 11진영읍층간소음재(목재구성)1
7273(주)상우리싸이클링이학열055-331-8030상동면 동북로473번길 382-32상동면알루미늄건설자재(테이블폼)1