Overview

Dataset statistics

Number of variables12
Number of observations63
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory99.1 B

Variable types

Numeric1
Categorical6
DateTime2
Text3

Dataset

Description경기도 양주시 계량업 등록 현황입니다. 이와 관련한 데이터로써 등록일자,회사명, 대표,주소,제조(수리·수입)할 계량기 등을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3077027/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
계량기증명에사용하는계량기기물명 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
계량기증명에사용하는계량기수량 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
연번 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
제조(수리_수입)할계량기 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
계량기증명에사용하는계량기규격 is highly overall correlated with 계량기증명에사용하는계량기기물명 and 1 other fieldsHigh correlation
전화번호 has 2 (3.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:22:52.162155
Analysis finished2023-12-12 02:22:53.124668
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T11:22:53.204170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-12T11:22:53.351256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
증명업
34 
수리업
13 
제조업
12 
수입업
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조업
2nd row제조업
3rd row제조업
4th row제조업
5th row제조업

Common Values

ValueCountFrequency (%)
증명업 34
54.0%
수리업 13
 
20.6%
제조업 12
 
19.0%
수입업 4
 
6.3%

Length

2023-12-12T11:22:53.488710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:53.594357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
증명업 34
54.0%
수리업 13
 
20.6%
제조업 12
 
19.0%
수입업 4
 
6.3%

등록일자
Date

Distinct56
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1986-01-16 00:00:00
Maximum2023-04-05 00:00:00
2023-12-12T11:22:53.742856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:53.897285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회사명
Text

Distinct50
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T11:22:54.271930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.7936508
Min length3

Characters and Unicode

Total characters428
Distinct characters110
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)63.5%

Sample

1st row(주)평일
2nd row유호전기공업(주)
3rd row유진기업
4th row이엔아이 주식회사
5th row(주)콘포테크
ValueCountFrequency (%)
주식회사 5
 
6.9%
주)카스 4
 
5.6%
이노템(주 3
 
4.2%
샘내계량증명업소 2
 
2.8%
카스전자저울 2
 
2.8%
율정계량소 2
 
2.8%
casfa(카스에프에이 2
 
2.8%
유진테크 2
 
2.8%
유진기업 2
 
2.8%
주)콘포테크 2
 
2.8%
Other values (44) 46
63.9%
2023-12-12T11:22:55.089283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
계 28
 
6.5%
량 26
 
6.1%
주 25
 
5.8%
소 24
 
5.6%
업 19
 
4.4%
( 17
 
4.0%
) 17
 
4.0%
명 14
 
3.3%
증 13
 
3.0%
스 10
 
2.3%
Other values (100) 235
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
87.1%
Open Punctuation 17
 
4.0%
Close Punctuation 17
 
4.0%
Uppercase Letter 12
 
2.8%
Space Separator 9
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 28
 
7.5%
량 26
 
7.0%
주 25
 
6.7%
소 24
 
6.4%
업 19
 
5.1%
명 14
 
3.8%
증 13
 
3.5%
스 10
 
2.7%
카 10
 
2.7%
이 9
 
2.4%
Other values (91) 195
52.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
33.3%
F 2
16.7%
S 2
16.7%
C 2
16.7%
J 1
 
8.3%
Y 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
87.1%
Common 43
 
10.0%
Latin 12
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 28
 
7.5%
량 26
 
7.0%
주 25
 
6.7%
소 24
 
6.4%
업 19
 
5.1%
명 14
 
3.8%
증 13
 
3.5%
스 10
 
2.7%
카 10
 
2.7%
이 9
 
2.4%
Other values (91) 195
52.3%
Latin
ValueCountFrequency (%)
A 4
33.3%
F 2
16.7%
S 2
16.7%
C 2
16.7%
J 1
 
8.3%
Y 1
 
8.3%
Common
ValueCountFrequency (%)
( 17
39.5%
) 17
39.5%
9
20.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
87.1%
ASCII 55
 
12.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
계 28
 
7.5%
량 26
 
7.0%
주 25
 
6.7%
소 24
 
6.4%
업 19
 
5.1%
명 14
 
3.8%
증 13
 
3.5%
스 10
 
2.7%
카 10
 
2.7%
이 9
 
2.4%
Other values (91) 195
52.3%
ASCII
ValueCountFrequency (%)
( 17
30.9%
) 17
30.9%
9
16.4%
A 4
 
7.3%
F 2
 
3.6%
S 2
 
3.6%
C 2
 
3.6%
J 1
 
1.8%
Y 1
 
1.8%

주소
Text

Distinct53
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T11:22:55.476479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length22.603175
Min length16

Characters and Unicode

Total characters1424
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)73.0%

Sample

1st row경기도 안양시 동안구 관악대로434번길 9-30 (관양동)
2nd row경기도 양주시 백석읍 권율로1253번길 39-42
3rd row경기도 양주시 광적면 부흥로 533
4th row경기도 양주시 광적면 광적로 201-35
5th row경기도 양주시 광적면 현석로 42-38, 가동
ValueCountFrequency (%)
경기도 63
19.8%
양주시 60
18.9%
광적면 29
 
9.1%
은현면 8
 
2.5%
그루고개로 6
 
1.9%
화합로 5
 
1.6%
남면 4
 
1.3%
현석로 4
 
1.3%
262 4
 
1.3%
광적로 3
 
0.9%
Other values (105) 132
41.5%
2023-12-12T11:22:56.040029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
19.3%
양 67
 
4.7%
주 65
 
4.6%
경 63
 
4.4%
도 63
 
4.4%
기 63
 
4.4%
시 61
 
4.3%
로 50
 
3.5%
1 45
 
3.2%
면 44
 
3.1%
Other values (86) 628
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
56.2%
Decimal Number 282
 
19.8%
Space Separator 275
 
19.3%
Dash Punctuation 33
 
2.3%
Close Punctuation 13
 
0.9%
Open Punctuation 13
 
0.9%
Other Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 67
 
8.4%
주 65
 
8.1%
경 63
 
7.9%
도 63
 
7.9%
기 63
 
7.9%
시 61
 
7.6%
로 50
 
6.2%
면 44
 
5.5%
광 33
 
4.1%
적 32
 
4.0%
Other values (71) 260
32.5%
Decimal Number
ValueCountFrequency (%)
1 45
16.0%
3 44
15.6%
2 37
13.1%
4 26
9.2%
6 26
9.2%
9 26
9.2%
5 24
8.5%
7 20
7.1%
0 18
 
6.4%
8 16
 
5.7%
Space Separator
ValueCountFrequency (%)
275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
56.2%
Common 623
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 67
 
8.4%
주 65
 
8.1%
경 63
 
7.9%
도 63
 
7.9%
기 63
 
7.9%
시 61
 
7.6%
로 50
 
6.2%
면 44
 
5.5%
광 33
 
4.1%
적 32
 
4.0%
Other values (71) 260
32.5%
Common
ValueCountFrequency (%)
275
44.1%
1 45
 
7.2%
3 44
 
7.1%
2 37
 
5.9%
- 33
 
5.3%
4 26
 
4.2%
6 26
 
4.2%
9 26
 
4.2%
5 24
 
3.9%
7 20
 
3.2%
Other values (5) 67
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
56.2%
ASCII 623
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
44.1%
1 45
 
7.2%
3 44
 
7.1%
2 37
 
5.9%
- 33
 
5.3%
4 26
 
4.2%
6 26
 
4.2%
9 26
 
4.2%
5 24
 
3.9%
7 20
 
3.2%
Other values (5) 67
 
10.8%
Hangul
ValueCountFrequency (%)
양 67
 
8.4%
주 65
 
8.1%
경 63
 
7.9%
도 63
 
7.9%
기 63
 
7.9%
시 61
 
7.6%
로 50
 
6.2%
면 44
 
5.5%
광 33
 
4.1%
적 32
 
4.0%
Other values (71) 260
32.5%

제조(수리_수입)할계량기
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
데이터미집계
33 
전기식지시저울
20 
전력량계
 
2
주유기
 
2
분동, 전기식지시저울
 
2
Other values (4)
4 

Length

Max length23
Median length6
Mean length6.8888889
Min length2

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row전력량계
2nd row전력량계
3rd row비자동저울 200kg 초과 500kg 이하
4th row전기식지시저울
5th row전기식지시저울

Common Values

ValueCountFrequency (%)
데이터미집계 33
52.4%
전기식지시저울 20
31.7%
전력량계 2
 
3.2%
주유기 2
 
3.2%
분동, 전기식지시저울 2
 
3.2%
비자동저울 200kg 초과 500kg 이하 1
 
1.6%
추, 전기식지시저울, 분동 1
 
1.6%
전기식지시저울, 분동, 추 이동식축증기 1
 
1.6%
분동 1
 
1.6%

Length

2023-12-12T11:22:56.223980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:56.356998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터미집계 33
44.6%
전기식지시저울 24
32.4%
분동 5
 
6.8%
전력량계 2
 
2.7%
주유기 2
 
2.7%
추 2
 
2.7%
비자동저울 1
 
1.4%
200kg 1
 
1.4%
초과 1
 
1.4%
500kg 1
 
1.4%
Other values (2) 2
 
2.7%

전화번호
Text

MISSING 

Distinct44
Distinct (%)72.1%
Missing2
Missing (%)3.2%
Memory size636.0 B
2023-12-12T11:22:56.660853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.983607
Min length11

Characters and Unicode

Total characters731
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

Unique36 ?
Unique (%)59.0%

Sample

1st row031-420-6600
2nd row031-828-9021
3rd row031-836-5122
4th row031-879-8300
5th row031-911-6366
ValueCountFrequency (%)
031-000-0000 8
 
12.3%
031-820-1100 4
 
6.2%
031-866-8553 3
 
4.6%
031-829-7045 2
 
3.1%
031-855-7781 2
 
3.1%
031 2
 
3.1%
031-879-8300 2
 
3.1%
031-855-2234 2
 
3.1%
031-836-5122 2
 
3.1%
031-840-6776 1
 
1.5%
Other values (37) 37
56.9%
2023-12-12T11:22:57.121102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 160
21.9%
- 118
16.1%
3 90
12.3%
1 90
12.3%
8 68
9.3%
6 63
 
8.6%
5 41
 
5.6%
2 31
 
4.2%
4 26
 
3.6%
7 26
 
3.6%
Other values (2) 18
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 609
83.3%
Dash Punctuation 118
 
16.1%
Space Separator 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 160
26.3%
3 90
14.8%
1 90
14.8%
8 68
11.2%
6 63
 
10.3%
5 41
 
6.7%
2 31
 
5.1%
4 26
 
4.3%
7 26
 
4.3%
9 14
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 731
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 160
21.9%
- 118
16.1%
3 90
12.3%
1 90
12.3%
8 68
9.3%
6 63
 
8.6%
5 41
 
5.6%
2 31
 
4.2%
4 26
 
3.6%
7 26
 
3.6%
Other values (2) 18
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 160
21.9%
- 118
16.1%
3 90
12.3%
1 90
12.3%
8 68
9.3%
6 63
 
8.6%
5 41
 
5.6%
2 31
 
4.2%
4 26
 
3.6%
7 26
 
3.6%
Other values (2) 18
 
2.5%

계량기증명에사용하는계량기기물명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
전기식지시저울
32 
데이터 미집계
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
전기식지시저울 32
50.8%
데이터 미집계 31
49.2%

Length

2023-12-12T11:22:57.281735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:57.443785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기식지시저울 32
34.0%
데이터 31
33.0%
미집계 31
33.0%

계량기증명에사용하는계량기규격
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
데이터 미집계
34 
50t/10kg
12 
50톤
5 
60톤
 
2
60t/10kg
 
1
Other values (9)
9 

Length

Max length14
Median length7
Mean length7.031746
Min length2

Unique

Unique10 ?
Unique (%)15.9%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 34
54.0%
50t/10kg 12
 
19.0%
50톤 5
 
7.9%
60톤 2
 
3.2%
60t/10kg 1
 
1.6%
3000X10,000 mm 1
 
1.6%
50,000kg 이하 1
 
1.6%
50톤/10kg 1
 
1.6%
50,000kg/10kg 1
 
1.6%
50TON/10KG 1
 
1.6%
Other values (4) 4
 
6.3%

Length

2023-12-12T11:22:57.614761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터 34
34.3%
미집계 34
34.3%
50t/10kg 12
 
12.1%
50톤 5
 
5.1%
60톤 2
 
2.0%
50,000kg/10kg 1
 
1.0%
50t 1
 
1.0%
50,000-10 1
 
1.0%
5000kg/10k 1
 
1.0%
50ton/10kg 1
 
1.0%
Other values (7) 7
 
7.1%

계량기증명에사용하는계량기수량
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
데이터 미집계
31 
1
31 
3
 
1

Length

Max length7
Median length1
Mean length3.952381
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 31
49.2%
1 31
49.2%
3 1
 
1.6%

Length

2023-12-12T11:22:57.780285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:57.906476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 31
33.0%
미집계 31
33.0%
1 31
33.0%
3 1
 
1.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
양주시 일자리경제과
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시 일자리경제과
2nd row양주시 일자리경제과
3rd row양주시 일자리경제과
4th row양주시 일자리경제과
5th row양주시 일자리경제과

Common Values

ValueCountFrequency (%)
양주시 일자리경제과 63
100.0%

Length

2023-12-12T11:22:58.028923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:58.146877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 63
50.0%
일자리경제과 63
50.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2023-08-04 00:00:00
Maximum2023-08-04 00:00:00
2023-12-12T11:22:58.232278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:58.336658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:22:52.782267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:22:58.436808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분등록일자회사명주소제조(수리_수입)할계량기전화번호계량기증명에사용하는계량기기물명계량기증명에사용하는계량기규격계량기증명에사용하는계량기수량
연번1.0000.9490.8740.6220.2850.6250.4950.9900.7040.773
구분0.9491.0000.0000.0000.0000.8720.0000.9950.3640.623
등록일자0.8740.0001.0000.9940.9940.8280.9900.8420.9880.967
회사명0.6220.0000.9941.0001.0000.0000.9960.9730.9240.989
주소0.2850.0000.9941.0001.0000.0000.9980.9340.9810.986
제조(수리_수입)할계량기0.6250.8720.8280.0000.0001.0000.0000.8590.0000.853
전화번호0.4950.0000.9900.9960.9980.0001.0000.8430.9510.963
계량기증명에사용하는계량기기물명0.9900.9950.8420.9730.9340.8590.8431.0000.9811.000
계량기증명에사용하는계량기규격0.7040.3640.9880.9240.9810.0000.9510.9811.0000.770
계량기증명에사용하는계량기수량0.7730.6230.9670.9890.9860.8530.9631.0000.7701.000
2023-12-12T11:22:58.584989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계량기증명에사용하는계량기기물명계량기증명에사용하는계량기규격구분제조(수리_수입)할계량기계량기증명에사용하는계량기수량
계량기증명에사용하는계량기기물명1.0000.7920.9200.8380.992
계량기증명에사용하는계량기규격0.7921.0000.1860.0000.547
구분0.9200.1861.0000.7400.636
제조(수리_수입)할계량기0.8380.0000.7401.0000.539
계량기증명에사용하는계량기수량0.9920.5470.6360.5391.000
2023-12-12T11:22:58.709776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분제조(수리_수입)할계량기계량기증명에사용하는계량기기물명계량기증명에사용하는계량기규격계량기증명에사용하는계량기수량
연번1.0000.8270.3380.8500.3480.612
구분0.8271.0000.7400.9200.1860.636
제조(수리_수입)할계량기0.3380.7401.0000.8380.0000.539
계량기증명에사용하는계량기기물명0.8500.9200.8381.0000.7920.992
계량기증명에사용하는계량기규격0.3480.1860.0000.7921.0000.547
계량기증명에사용하는계량기수량0.6120.6360.5390.9920.5471.000

Missing values

2023-12-12T11:22:52.895955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:22:53.061090image/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

연번구분등록일자회사명주소제조(수리_수입)할계량기전화번호계량기증명에사용하는계량기기물명계량기증명에사용하는계량기규격계량기증명에사용하는계량기수량관리기관명데이터기준일
01제조업2020-04-28(주)평일경기도 안양시 동안구 관악대로434번길 9-30 (관양동)전력량계031-420-6600데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
12제조업2020-03-25유호전기공업(주)경기도 양주시 백석읍 권율로1253번길 39-42전력량계031-828-9021데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
23제조업2019-03-28유진기업경기도 양주시 광적면 부흥로 533비자동저울 200kg 초과 500kg 이하031-836-5122데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
34제조업2018-07-10이엔아이 주식회사경기도 양주시 광적면 광적로 201-35전기식지시저울031-879-8300데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
45제조업2018-06-12(주)콘포테크경기도 양주시 광적면 현석로 42-38, 가동전기식지시저울031-911-6366데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
56제조업2016-04-01뉴카스경기도 양주시 광적면 삼일로 199전기식지시저울031-829-7045데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
67제조업2011-09-28유진테크경기도 양주시 광적면 현석로 597-81전기식지시저울031-000-0000데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
78제조업2010-06-09CASFA(카스에프에이)경기도 양주시 광적면 현석로495번길 64-21 (237-5)전기식지시저울031-855-7781데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
89제조업2009-06-11금성산업계기경기도 양주시 천보산로 36 (회암동)전기식지시저울031-855-2234데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
910제조업2005-12-27이노템(주)경기도 양주시 광적면 현석로413번길 108-21전기식지시저울031-866-8553데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
연번구분등록일자회사명주소제조(수리_수입)할계량기전화번호계량기증명에사용하는계량기기물명계량기증명에사용하는계량기규격계량기증명에사용하는계량기수량관리기관명데이터기준일
5354증명업1995-12-20상수계량증명업소경기도 양주시 남면 상수리 111-20데이터미집계031-863-0074전기식지시저울50톤1양주시 일자리경제과2023-08-04
5455증명업1995-10-26양주제일계량증명업소경기도 양주군 주내면 광사리 373-8데이터미집계031-847-1700전기식지시저울50톤1양주시 일자리경제과2023-08-04
5556증명업1995-05-31자금성계량증명업소경기도 양주시 광적면 석우리 66-9데이터미집계031-840-6776전기식지시저울50t1양주시 일자리경제과2023-08-04
5657증명업1991-10-25동일계량증명업소경기도 양주시 은현면 운암리 460-5데이터미집계031-862-8395전기식지시저울50톤3양주시 일자리경제과2023-08-04
5758증명업1986-04-15양주계량증명업소경기도 양주시 평화로 1935 (봉양동)데이터미집계031 863 0646전기식지시저울501양주시 일자리경제과2023-08-04
5859증명업1986-04-15양주계량소경기도 양주시 덕계동 448번지데이터미집계<NA>데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
5960수입업2021-04-27주식회사 큐로경기도 양주시 은현면 화합로941번길 83분동031-862-8556데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
6061수입업2018-11-13이노템(주)경기도 양주시 광적면 현석로413번길 108-21분동, 전기식지시저울031-866-8553데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
6162수입업2017-04-06카스전자저울 경기점경기도 양주시 광적면 부흥로930번길 36전기식지시저울031-837-4661데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04
6263수입업2016-04-28(주)카스경기도 양주시 광적면 그루고개로 262분동, 전기식지시저울031-820-1100데이터 미집계데이터 미집계데이터 미집계양주시 일자리경제과2023-08-04