Overview

Dataset statistics

Number of variables7
Number of observations857
Missing cells21
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.7 KiB
Average record size in memory58.2 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description부산광역시 사하구 소재(개별입지)에 공장 등록된 기업체에 대한 자료로 기업체명, 기업체 주소, 기업체 종업원의 수, 기업체의 전화번호에 대한 자료가 업로드 되어 있습니다.
URLhttps://www.data.go.kr/data/3076163/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
전화번호 has 17 (2.0%) missing valuesMissing
순번 has unique valuesUnique
종업원수 has 15 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-12 22:29:08.102410
Analysis finished2023-12-12 22:29:09.385876
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct857
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429
Minimum1
Maximum857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-13T07:29:09.467842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43.8
Q1215
median429
Q3643
95-th percentile814.2
Maximum857
Range856
Interquartile range (IQR)428

Descriptive statistics

Standard deviation247.53889
Coefficient of variation (CV)0.57701372
Kurtosis-1.2
Mean429
Median Absolute Deviation (MAD)214
Skewness0
Sum367653
Variance61275.5
MonotonicityStrictly increasing
2023-12-13T07:29:09.595191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
564 1
 
0.1%
566 1
 
0.1%
567 1
 
0.1%
568 1
 
0.1%
569 1
 
0.1%
570 1
 
0.1%
571 1
 
0.1%
572 1
 
0.1%
573 1
 
0.1%
Other values (847) 847
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
857 1
0.1%
856 1
0.1%
855 1
0.1%
854 1
0.1%
853 1
0.1%
852 1
0.1%
851 1
0.1%
850 1
0.1%
849 1
0.1%
848 1
0.1%

회사명
Text

Distinct827
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-13T07:29:09.871245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length16
Mean length6.8413069
Min length2

Characters and Unicode

Total characters5863
Distinct characters392
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

Unique801 ?
Unique (%)93.5%

Sample

1st row(사)하나복지회 피복사업장
2nd row(주) 예맥통상
3rd row(주)HN푸드
4th row(주)Y2산업
5th row(주)강남
ValueCountFrequency (%)
주식회사 53
 
5.6%
삼우티이에스(주 4
 
0.4%
탱크테크(주 3
 
0.3%
사단법인 3
 
0.3%
주)바이넥스 3
 
0.3%
제2공장 3
 
0.3%
적토마 2
 
0.2%
주)한진식품 2
 
0.2%
에이치지테크 2
 
0.2%
주)동아위드 2
 
0.2%
Other values (845) 867
91.8%
2023-12-13T07:29:10.366178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 472
 
8.1%
( 416
 
7.1%
) 416
 
7.1%
사 143
 
2.4%
업 141
 
2.4%
산 138
 
2.4%
이 133
 
2.3%
스 104
 
1.8%
기 92
 
1.6%
식 90
 
1.5%
Other values (382) 3718
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4791
81.7%
Open Punctuation 416
 
7.1%
Close Punctuation 416
 
7.1%
Uppercase Letter 123
 
2.1%
Space Separator 88
 
1.5%
Other Punctuation 14
 
0.2%
Decimal Number 9
 
0.2%
Lowercase Letter 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 472
 
9.9%
사 143
 
3.0%
업 141
 
2.9%
산 138
 
2.9%
이 133
 
2.8%
스 104
 
2.2%
기 92
 
1.9%
식 90
 
1.9%
공 78
 
1.6%
동 75
 
1.6%
Other values (346) 3325
69.4%
Uppercase Letter
ValueCountFrequency (%)
S 14
 
11.4%
M 11
 
8.9%
G 11
 
8.9%
E 10
 
8.1%
T 9
 
7.3%
N 8
 
6.5%
F 7
 
5.7%
K 6
 
4.9%
C 6
 
4.9%
A 6
 
4.9%
Other values (12) 35
28.5%
Lowercase Letter
ValueCountFrequency (%)
u 1
20.0%
l 1
20.0%
g 1
20.0%
a 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 7
50.0%
. 6
42.9%
, 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 8
88.9%
5 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 416
100.0%
Close Punctuation
ValueCountFrequency (%)
) 416
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4791
81.7%
Common 944
 
16.1%
Latin 128
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 472
 
9.9%
사 143
 
3.0%
업 141
 
2.9%
산 138
 
2.9%
이 133
 
2.8%
스 104
 
2.2%
기 92
 
1.9%
식 90
 
1.9%
공 78
 
1.6%
동 75
 
1.6%
Other values (346) 3325
69.4%
Latin
ValueCountFrequency (%)
S 14
 
10.9%
M 11
 
8.6%
G 11
 
8.6%
E 10
 
7.8%
T 9
 
7.0%
N 8
 
6.2%
F 7
 
5.5%
K 6
 
4.7%
C 6
 
4.7%
A 6
 
4.7%
Other values (17) 40
31.2%
Common
ValueCountFrequency (%)
( 416
44.1%
) 416
44.1%
88
 
9.3%
2 8
 
0.8%
& 7
 
0.7%
. 6
 
0.6%
, 1
 
0.1%
- 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4791
81.7%
ASCII 1072
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 472
 
9.9%
사 143
 
3.0%
업 141
 
2.9%
산 138
 
2.9%
이 133
 
2.8%
스 104
 
2.2%
기 92
 
1.9%
식 90
 
1.9%
공 78
 
1.6%
동 75
 
1.6%
Other values (346) 3325
69.4%
ASCII
ValueCountFrequency (%)
( 416
38.8%
) 416
38.8%
88
 
8.2%
S 14
 
1.3%
M 11
 
1.0%
G 11
 
1.0%
E 10
 
0.9%
T 9
 
0.8%
N 8
 
0.7%
2 8
 
0.7%
Other values (26) 81
 
7.6%

주소
Text

Distinct767
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-13T07:29:10.659813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length55
Mean length28.191365
Min length18

Characters and Unicode

Total characters24160
Distinct characters140
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

Unique691 ?
Unique (%)80.6%

Sample

1st row부산광역시 사하구 다대로354번안길 20, 2층(장림동)
2nd row부산광역시 사하구 비봉로 56 (신평동)
3rd row부산광역시 사하구 하신중앙로27번길 15 (장림동)
4th row부산광역시 사하구 장림로 100 (장림동)
5th row부산광역시 사하구 구평로16번길 71 (구평동) 외 18필지
ValueCountFrequency (%)
부산광역시 857
18.4%
사하구 857
18.4%
장림동 389
 
8.4%
구평동 191
 
4.1%
신평동 85
 
1.8%
외 67
 
1.4%
감천항로 40
 
0.9%
장평로 39
 
0.8%
감천동 38
 
0.8%
1필지 37
 
0.8%
Other values (581) 2045
44.0%
2023-12-13T07:29:11.102251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3788
 
15.7%
구 1110
 
4.6%
하 1052
 
4.4%
동 914
 
3.8%
산 887
 
3.7%
사 872
 
3.6%
( 867
 
3.6%
) 867
 
3.6%
부 866
 
3.6%
광 858
 
3.6%
Other values (130) 12079
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14531
60.1%
Decimal Number 3799
 
15.7%
Space Separator 3788
 
15.7%
Open Punctuation 867
 
3.6%
Close Punctuation 867
 
3.6%
Other Punctuation 163
 
0.7%
Dash Punctuation 137
 
0.6%
Uppercase Letter 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1110
 
7.6%
하 1052
 
7.2%
동 914
 
6.3%
산 887
 
6.1%
사 872
 
6.0%
부 866
 
6.0%
광 858
 
5.9%
역 857
 
5.9%
시 857
 
5.9%
로 819
 
5.6%
Other values (111) 5439
37.4%
Decimal Number
ValueCountFrequency (%)
1 742
19.5%
2 484
12.7%
3 446
11.7%
4 401
10.6%
5 393
10.3%
0 365
9.6%
7 299
7.9%
6 284
 
7.5%
9 200
 
5.3%
8 185
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 2
28.6%
S 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3788
100.0%
Open Punctuation
ValueCountFrequency (%)
( 867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 867
100.0%
Other Punctuation
ValueCountFrequency (%)
, 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14531
60.1%
Common 9622
39.8%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1110
 
7.6%
하 1052
 
7.2%
동 914
 
6.3%
산 887
 
6.1%
사 872
 
6.0%
부 866
 
6.0%
광 858
 
5.9%
역 857
 
5.9%
시 857
 
5.9%
로 819
 
5.6%
Other values (111) 5439
37.4%
Common
ValueCountFrequency (%)
3788
39.4%
( 867
 
9.0%
) 867
 
9.0%
1 742
 
7.7%
2 484
 
5.0%
3 446
 
4.6%
4 401
 
4.2%
5 393
 
4.1%
0 365
 
3.8%
7 299
 
3.1%
Other values (6) 970
 
10.1%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 2
28.6%
S 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14531
60.1%
ASCII 9629
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3788
39.3%
( 867
 
9.0%
) 867
 
9.0%
1 742
 
7.7%
2 484
 
5.0%
3 446
 
4.6%
4 401
 
4.2%
5 393
 
4.1%
0 365
 
3.8%
7 299
 
3.1%
Other values (9) 977
 
10.1%
Hangul
ValueCountFrequency (%)
구 1110
 
7.6%
하 1052
 
7.2%
동 914
 
6.3%
산 887
 
6.1%
사 872
 
6.0%
부 866
 
6.0%
광 858
 
5.9%
역 857
 
5.9%
시 857
 
5.9%
로 819
 
5.6%
Other values (111) 5439
37.4%

종업원수
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.413069
Minimum0
Maximum388
Zeros15
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-13T07:29:11.243092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q316
95-th percentile49
Maximum388
Range388
Interquartile range (IQR)12

Descriptive statistics

Standard deviation29.03824
Coefficient of variation (CV)1.8840012
Kurtosis67.42521
Mean15.413069
Median Absolute Deviation (MAD)5
Skewness7.1152819
Sum13209
Variance843.21936
MonotonicityNot monotonic
2023-12-13T07:29:11.378142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 67
 
7.8%
3 64
 
7.5%
5 61
 
7.1%
2 60
 
7.0%
6 54
 
6.3%
10 50
 
5.8%
7 40
 
4.7%
1 39
 
4.6%
9 37
 
4.3%
8 36
 
4.2%
Other values (70) 349
40.7%
ValueCountFrequency (%)
0 15
 
1.8%
1 39
4.6%
2 60
7.0%
3 64
7.5%
4 67
7.8%
5 61
7.1%
6 54
6.3%
7 40
4.7%
8 36
4.2%
9 37
4.3%
ValueCountFrequency (%)
388 1
0.1%
320 1
0.1%
299 1
0.1%
250 1
0.1%
239 1
0.1%
196 1
0.1%
156 1
0.1%
144 1
0.1%
134 1
0.1%
128 1
0.1%

생산품
Text

Distinct765
Distinct (%)89.7%
Missing4
Missing (%)0.5%
Memory size6.8 KiB
2023-12-13T07:29:11.596810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length40
Mean length8.3692849
Min length1

Characters and Unicode

Total characters7139
Distinct characters513
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique711 ?
Unique (%)83.4%

Sample

1st row의류
2nd row냉동어개류(어류)
3rd row참깨+들깨
4th row기계제작
5th rowFRP선박건조+강선수리+프랜트제작+비철금속선+보트
ValueCountFrequency (%)
및 49
 
3.7%
등 47
 
3.6%
선박 22
 
1.7%
선박용 16
 
1.2%
제조 13
 
1.0%
수산물 13
 
1.0%
외 13
 
1.0%
부품 12
 
0.9%
플라스틱 11
 
0.8%
금형 10
 
0.8%
Other values (891) 1115
84.4%
2023-12-13T07:29:11.933338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
 
6.6%
+ 405
 
5.7%
기 245
 
3.4%
품 243
 
3.4%
선 162
 
2.3%
용 138
 
1.9%
박 124
 
1.7%
동 121
 
1.7%
장 117
 
1.6%
제 117
 
1.6%
Other values (503) 4999
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5842
81.8%
Space Separator 468
 
6.6%
Math Symbol 405
 
5.7%
Lowercase Letter 171
 
2.4%
Uppercase Letter 138
 
1.9%
Close Punctuation 51
 
0.7%
Open Punctuation 51
 
0.7%
Other Punctuation 9
 
0.1%
Decimal Number 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 245
 
4.2%
품 243
 
4.2%
선 162
 
2.8%
용 138
 
2.4%
박 124
 
2.1%
동 121
 
2.1%
장 117
 
2.0%
제 117
 
2.0%
조 114
 
2.0%
전 113
 
1.9%
Other values (448) 4348
74.4%
Lowercase Letter
ValueCountFrequency (%)
e 20
11.7%
t 17
 
9.9%
r 17
 
9.9%
o 14
 
8.2%
i 13
 
7.6%
n 11
 
6.4%
a 11
 
6.4%
l 8
 
4.7%
s 8
 
4.7%
b 8
 
4.7%
Other values (14) 44
25.7%
Uppercase Letter
ValueCountFrequency (%)
C 18
13.0%
E 17
12.3%
S 13
9.4%
T 11
 
8.0%
A 9
 
6.5%
P 9
 
6.5%
D 9
 
6.5%
L 9
 
6.5%
B 7
 
5.1%
V 7
 
5.1%
Other values (12) 29
21.0%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
/ 4
44.4%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
468
100.0%
Math Symbol
ValueCountFrequency (%)
+ 405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5841
81.8%
Common 988
 
13.8%
Latin 309
 
4.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 245
 
4.2%
품 243
 
4.2%
선 162
 
2.8%
용 138
 
2.4%
박 124
 
2.1%
동 121
 
2.1%
장 117
 
2.0%
제 117
 
2.0%
조 114
 
2.0%
전 113
 
1.9%
Other values (447) 4347
74.4%
Latin
ValueCountFrequency (%)
e 20
 
6.5%
C 18
 
5.8%
t 17
 
5.5%
E 17
 
5.5%
r 17
 
5.5%
o 14
 
4.5%
i 13
 
4.2%
S 13
 
4.2%
n 11
 
3.6%
T 11
 
3.6%
Other values (36) 158
51.1%
Common
ValueCountFrequency (%)
468
47.4%
+ 405
41.0%
) 51
 
5.2%
( 51
 
5.2%
. 4
 
0.4%
/ 4
 
0.4%
2 2
 
0.2%
- 2
 
0.2%
& 1
 
0.1%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5841
81.8%
ASCII 1297
 
18.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
36.1%
+ 405
31.2%
) 51
 
3.9%
( 51
 
3.9%
e 20
 
1.5%
C 18
 
1.4%
t 17
 
1.3%
E 17
 
1.3%
r 17
 
1.3%
o 14
 
1.1%
Other values (45) 219
16.9%
Hangul
ValueCountFrequency (%)
기 245
 
4.2%
품 243
 
4.2%
선 162
 
2.8%
용 138
 
2.4%
박 124
 
2.1%
동 121
 
2.1%
장 117
 
2.0%
제 117
 
2.0%
조 114
 
2.0%
전 113
 
1.9%
Other values (447) 4347
74.4%
CJK
ValueCountFrequency (%)
外 1
100.0%

전화번호
Text

MISSING 

Distinct803
Distinct (%)95.6%
Missing17
Missing (%)2.0%
Memory size6.8 KiB
2023-12-13T07:29:12.153569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02381
Min length11

Characters and Unicode

Total characters10100
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

Unique770 ?
Unique (%)91.7%

Sample

1st row051-262-6911
2nd row051-207-9393
3rd row051-263-7249
4th row051-264-4714
5th row051-260-6000
ValueCountFrequency (%)
051-412-0647 5
 
0.6%
051-205-8911 3
 
0.4%
051-979-1600 2
 
0.2%
051-261-5784 2
 
0.2%
051-262-6911 2
 
0.2%
051-261-9944 2
 
0.2%
051-204-7821 2
 
0.2%
051-418-6141 2
 
0.2%
051-266-3083 2
 
0.2%
051-208-3639 2
 
0.2%
Other values (793) 816
97.1%
2023-12-13T07:29:12.541281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1680
16.6%
0 1467
14.5%
1 1444
14.3%
5 1270
12.6%
2 1140
11.3%
6 902
8.9%
4 524
 
5.2%
3 489
 
4.8%
7 441
 
4.4%
8 386
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8420
83.4%
Dash Punctuation 1680
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1467
17.4%
1 1444
17.1%
5 1270
15.1%
2 1140
13.5%
6 902
10.7%
4 524
 
6.2%
3 489
 
5.8%
7 441
 
5.2%
8 386
 
4.6%
9 357
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1680
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1680
16.6%
0 1467
14.5%
1 1444
14.3%
5 1270
12.6%
2 1140
11.3%
6 902
8.9%
4 524
 
5.2%
3 489
 
4.8%
7 441
 
4.4%
8 386
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1680
16.6%
0 1467
14.5%
1 1444
14.3%
5 1270
12.6%
2 1140
11.3%
6 902
8.9%
4 524
 
5.2%
3 489
 
4.8%
7 441
 
4.4%
8 386
 
3.8%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-04-28
857 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-28
2nd row2023-04-28
3rd row2023-04-28
4th row2023-04-28
5th row2023-04-28

Common Values

ValueCountFrequency (%)
2023-04-28 857
100.0%

Length

2023-12-13T07:29:12.664321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:29:12.763805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-28 857
100.0%

Interactions

2023-12-13T07:29:08.882366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:29:08.698698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:29:08.980265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:29:08.775440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:29:12.818483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.0000.199
종업원수0.1991.000
2023-12-13T07:29:12.899047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.179
종업원수-0.1791.000

Missing values

2023-12-13T07:29:09.112585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:29:09.232251image/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.
2023-12-13T07:29:09.338258image/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

순번회사명주소종업원수생산품전화번호데이터 기준일자
01(사)하나복지회 피복사업장부산광역시 사하구 다대로354번안길 20, 2층(장림동)10의류051-262-69112023-04-28
12(주) 예맥통상부산광역시 사하구 비봉로 56 (신평동)17냉동어개류(어류)051-207-93932023-04-28
23(주)HN푸드부산광역시 사하구 하신중앙로27번길 15 (장림동)2참깨+들깨051-263-72492023-04-28
34(주)Y2산업부산광역시 사하구 장림로 100 (장림동)9기계제작051-264-47142023-04-28
45(주)강남부산광역시 사하구 구평로16번길 71 (구평동) 외 18필지320FRP선박건조+강선수리+프랜트제작+비철금속선+보트051-260-60002023-04-28
56(주)경기색소부산광역시 사하구 을숙도대로 526 (신평동)40안료051-291-02652023-04-28
67(주)경맥부산광역시 사하구 다대로354번길 71 (장림동)20자숙문어051-292-82342023-04-28
78(주)경진하네스산업부산광역시 사하구 장평로41번길 36 (장림동)32와이어링051-264-11842023-04-28
89(주)광명광고공사부산광역시 사하구 낙동대로 246-1 (괴정동)3간판+광고물051-202-88972023-04-28
910(주)국제화학부산광역시 사하구 을숙도대로755번길 98 (구평동)13생활용품+자동차부품051-264-15922023-04-28
순번회사명주소종업원수생산품전화번호데이터 기준일자
847848화성부산광역시 사하구 하신중앙로27번길 17, 1동 2층 1 (장림동, 에이스밀)4배전반<NA>2023-04-28
848849화인.캡부산광역시 사하구 다대로354번안길 80 (장림동)2주방용세척제051-262-11412023-04-28
849850화인골드마린스부산광역시 사하구 원양로 407-11 (감천동)15오징어 제품외051-205-69282023-04-28
850851화진물산부산광역시 사하구 하신중앙로54번길 28 (장림동)4탈취제+비료051-261-37102023-04-28
851852효동전기부산광역시 사하구 구평로 7 (구평동)2판넬+선박전기051-416-61592023-04-28
852853효진정밀부산광역시 사하구 장평로190번길 25 (장림동)17금속파스너 및 나사제품 제조품051-266-16972023-04-28
853854효창프라스틱부산광역시 사하구 다대로354번길 55 (장림동)20자동차용 시계렌즈051-266-52902023-04-28
854855흥성공업사부산광역시 사하구 장평로138번길 17-2 (장림동)8자동차부품051-264-58252023-04-28
855856흥진산업부산광역시 사하구 비봉로21번길 25 (신평동)5색지+포장지051-206-56732023-04-28
856857힐튼디자인부산광역시 사하구 하신중앙로27번길 17, 410호(장림동, 에이스밀) 410호4소파070-7578-03702023-04-28