Overview

Dataset statistics

Number of variables9
Number of observations93
Missing cells150
Missing cells (%)17.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory74.4 B

Variable types

Text4
Categorical3
Numeric1
DateTime1

Dataset

Description김해시 인쇄사 현황(사업장명, 문화체육업종명, 문화사업자구분명, 영업상태명 등)에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033385/fileData.do

Alerts

문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
영업상태명 is highly imbalanced (54.1%)Imbalance
시설면적 has 44 (47.3%) missing valuesMissing
소재지전화 has 22 (23.7%) missing valuesMissing
폐업일자 has 84 (90.3%) missing valuesMissing
시설면적 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-12 04:41:28.310394
Analysis finished2023-12-12 04:41:29.993652
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct91
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T13:41:30.257308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.5053763
Min length2

Characters and Unicode

Total characters605
Distinct characters172
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)95.7%

Sample

1st row동양종합인쇄
2nd row신도OA사무기
3rd row해님씨링인쇄사
4th row(주)국제프린테크
5th row디자인 봄
ValueCountFrequency (%)
빅시스템즈 3
 
2.8%
디자인 3
 
2.8%
주식회사 3
 
2.8%
한겨레기획 2
 
1.9%
후니테크 1
 
0.9%
나라연디자인 1
 
0.9%
산소피아 1
 
0.9%
세창포장 1
 
0.9%
대명인쇄복사 1
 
0.9%
주)김해미디어 1
 
0.9%
Other values (91) 91
84.3%
2023-12-12T13:41:30.747559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 39
 
6.4%
쇄 22
 
3.6%
디 21
 
3.5%
사 19
 
3.1%
주 19
 
3.1%
) 18
 
3.0%
( 18
 
3.0%
스 16
 
2.6%
15
 
2.5%
기 13
 
2.1%
Other values (162) 405
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
88.9%
Close Punctuation 18
 
3.0%
Open Punctuation 18
 
3.0%
Space Separator 15
 
2.5%
Lowercase Letter 8
 
1.3%
Uppercase Letter 7
 
1.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 39
 
7.2%
쇄 22
 
4.1%
디 21
 
3.9%
사 19
 
3.5%
주 19
 
3.5%
스 16
 
3.0%
기 13
 
2.4%
획 12
 
2.2%
자 11
 
2.0%
시 8
 
1.5%
Other values (144) 358
66.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
12.5%
s 1
12.5%
c 1
12.5%
i 1
12.5%
p 1
12.5%
a 1
12.5%
r 1
12.5%
g 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
P 1
14.3%
M 1
14.3%
S 1
14.3%
O 1
14.3%
A 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
88.8%
Common 52
 
8.6%
Latin 15
 
2.5%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 39
 
7.3%
쇄 22
 
4.1%
디 21
 
3.9%
사 19
 
3.5%
주 19
 
3.5%
스 16
 
3.0%
기 13
 
2.4%
획 12
 
2.2%
자 11
 
2.0%
시 8
 
1.5%
Other values (143) 357
66.5%
Latin
ValueCountFrequency (%)
D 2
13.3%
P 1
 
6.7%
h 1
 
6.7%
s 1
 
6.7%
c 1
 
6.7%
i 1
 
6.7%
p 1
 
6.7%
a 1
 
6.7%
r 1
 
6.7%
g 1
 
6.7%
Other values (4) 4
26.7%
Common
ValueCountFrequency (%)
) 18
34.6%
( 18
34.6%
15
28.8%
3 1
 
1.9%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
88.8%
ASCII 67
 
11.1%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 39
 
7.3%
쇄 22
 
4.1%
디 21
 
3.9%
사 19
 
3.5%
주 19
 
3.5%
스 16
 
3.0%
기 13
 
2.4%
획 12
 
2.2%
자 11
 
2.0%
시 8
 
1.5%
Other values (143) 357
66.5%
ASCII
ValueCountFrequency (%)
) 18
26.9%
( 18
26.9%
15
22.4%
D 2
 
3.0%
P 1
 
1.5%
h 1
 
1.5%
3 1
 
1.5%
s 1
 
1.5%
c 1
 
1.5%
i 1
 
1.5%
Other values (8) 8
11.9%
CJK
ValueCountFrequency (%)
美 1
100.0%

지번주소
Text

Distinct77
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T13:41:31.012733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length23.333333
Min length17

Characters and Unicode

Total characters2170
Distinct characters127
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

Unique70 ?
Unique (%)75.3%

Sample

1st row경상남도 김해시 부원동 ***-*번지
2nd row경상남도 김해시 삼방동 ***-*번지
3rd row경상남도 김해시 부원동 ***-*번지
4th row경상남도 김해시 한림면 안하리 ***-*번지
5th row경상남도 김해시 율하동 ****번지 율현마을율하이편한세상
ValueCountFrequency (%)
경상남도 93
21.0%
김해시 93
21.0%
번지 76
17.2%
호 15
 
3.4%
부원동 13
 
2.9%
13
 
2.9%
삼계동 11
 
2.5%
층 8
 
1.8%
대청동 6
 
1.4%
내동 6
 
1.4%
Other values (68) 108
24.4%
2023-12-12T13:41:31.493384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 437
20.1%
349
16.1%
상 106
 
4.9%
김 95
 
4.4%
해 95
 
4.4%
남 94
 
4.3%
경 93
 
4.3%
도 93
 
4.3%
시 93
 
4.3%
동 87
 
4.0%
Other values (117) 628
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1269
58.5%
Other Punctuation 439
 
20.2%
Space Separator 349
 
16.1%
Dash Punctuation 81
 
3.7%
Decimal Number 24
 
1.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 106
 
8.4%
김 95
 
7.5%
해 95
 
7.5%
남 94
 
7.4%
경 93
 
7.3%
도 93
 
7.3%
시 93
 
7.3%
동 87
 
6.9%
번 79
 
6.2%
지 77
 
6.1%
Other values (101) 357
28.1%
Decimal Number
ValueCountFrequency (%)
1 6
25.0%
7 3
12.5%
6 3
12.5%
4 3
12.5%
0 3
12.5%
2 3
12.5%
3 2
 
8.3%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 437
99.5%
, 2
 
0.5%
Space Separator
ValueCountFrequency (%)
349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1269
58.5%
Common 899
41.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 106
 
8.4%
김 95
 
7.5%
해 95
 
7.5%
남 94
 
7.4%
경 93
 
7.3%
도 93
 
7.3%
시 93
 
7.3%
동 87
 
6.9%
번 79
 
6.2%
지 77
 
6.1%
Other values (101) 357
28.1%
Common
ValueCountFrequency (%)
* 437
48.6%
349
38.8%
- 81
 
9.0%
1 6
 
0.7%
7 3
 
0.3%
6 3
 
0.3%
4 3
 
0.3%
0 3
 
0.3%
( 3
 
0.3%
) 3
 
0.3%
Other values (4) 8
 
0.9%
Latin
ValueCountFrequency (%)
b 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1269
58.5%
ASCII 901
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 437
48.5%
349
38.7%
- 81
 
9.0%
1 6
 
0.7%
7 3
 
0.3%
6 3
 
0.3%
4 3
 
0.3%
0 3
 
0.3%
( 3
 
0.3%
) 3
 
0.3%
Other values (6) 10
 
1.1%
Hangul
ValueCountFrequency (%)
상 106
 
8.4%
김 95
 
7.5%
해 95
 
7.5%
남 94
 
7.4%
경 93
 
7.3%
도 93
 
7.3%
시 93
 
7.3%
동 87
 
6.9%
번 79
 
6.2%
지 77
 
6.1%
Other values (101) 357
28.1%

도로명주소
Text

Distinct85
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T13:41:31.807762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length28.763441
Min length19

Characters and Unicode

Total characters2675
Distinct characters141
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

Unique79 ?
Unique (%)84.9%

Sample

1st row경상남도 김해시 호계로***번길 * (부원동)
2nd row경상남도 김해시 인제로***번길 *, 지하 (삼방동)
3rd row경상남도 김해시 호계로 *** (부원동)
4th row경상남도 김해시 한림면 안하로 ***
5th row경상남도 김해시 율하*로 ***, 율현마을율하이편한세상 ***호 (율하동)
ValueCountFrequency (%)
경상남도 93
17.8%
김해시 93
17.8%
89
17.0%
호 21
 
4.0%
층 14
 
2.7%
부원동 13
 
2.5%
삼계동 9
 
1.7%
호계로 6
 
1.1%
칠산로***번길 6
 
1.1%
진영읍 6
 
1.1%
Other values (105) 173
33.1%
2023-12-12T13:41:32.314083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 475
17.8%
448
16.7%
상 108
 
4.0%
해 105
 
3.9%
김 104
 
3.9%
남 94
 
3.5%
경 93
 
3.5%
도 93
 
3.5%
시 93
 
3.5%
로 89
 
3.3%
Other values (131) 973
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1506
56.3%
Other Punctuation 523
 
19.6%
Space Separator 448
 
16.7%
Open Punctuation 73
 
2.7%
Close Punctuation 73
 
2.7%
Dash Punctuation 32
 
1.2%
Decimal Number 19
 
0.7%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 108
 
7.2%
해 105
 
7.0%
김 104
 
6.9%
남 94
 
6.2%
경 93
 
6.2%
도 93
 
6.2%
시 93
 
6.2%
로 89
 
5.9%
동 83
 
5.5%
번 57
 
3.8%
Other values (116) 587
39.0%
Decimal Number
ValueCountFrequency (%)
1 5
26.3%
0 3
15.8%
8 2
 
10.5%
7 2
 
10.5%
4 2
 
10.5%
6 2
 
10.5%
9 2
 
10.5%
2 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 475
90.8%
, 48
 
9.2%
Space Separator
ValueCountFrequency (%)
448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1506
56.3%
Common 1168
43.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 108
 
7.2%
해 105
 
7.0%
김 104
 
6.9%
남 94
 
6.2%
경 93
 
6.2%
도 93
 
6.2%
시 93
 
6.2%
로 89
 
5.9%
동 83
 
5.5%
번 57
 
3.8%
Other values (116) 587
39.0%
Common
ValueCountFrequency (%)
* 475
40.7%
448
38.4%
( 73
 
6.2%
) 73
 
6.2%
, 48
 
4.1%
- 32
 
2.7%
1 5
 
0.4%
0 3
 
0.3%
8 2
 
0.2%
7 2
 
0.2%
Other values (4) 7
 
0.6%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1506
56.3%
ASCII 1169
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 475
40.6%
448
38.3%
( 73
 
6.2%
) 73
 
6.2%
, 48
 
4.1%
- 32
 
2.7%
1 5
 
0.4%
0 3
 
0.3%
8 2
 
0.2%
7 2
 
0.2%
Other values (5) 8
 
0.7%
Hangul
ValueCountFrequency (%)
상 108
 
7.2%
해 105
 
7.0%
김 104
 
6.9%
남 94
 
6.2%
경 93
 
6.2%
도 93
 
6.2%
시 93
 
6.2%
로 89
 
5.9%
동 83
 
5.5%
번 57
 
3.8%
Other values (116) 587
39.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
인쇄사
93 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 93
100.0%

Length

2023-12-12T13:41:32.464674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:41:32.591355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 93
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
출판인쇄업
93 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 93
100.0%

Length

2023-12-12T13:41:32.699581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:41:32.802707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 93
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)93.9%
Missing44
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean274.63653
Minimum0
Maximum4167.13
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-12T13:41:32.940929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.8
Q150.56
median90.9
Q3148.17
95-th percentile664.4
Maximum4167.13
Range4167.13
Interquartile range (IQR)97.61

Descriptive statistics

Standard deviation711.62635
Coefficient of variation (CV)2.5911569
Kurtosis22.844354
Mean274.63653
Median Absolute Deviation (MAD)45.02
Skewness4.7305361
Sum13457.19
Variance506412.06
MonotonicityNot monotonic
2023-12-12T13:41:33.103555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
90.9 2
 
2.2%
36.0 2
 
2.2%
50.0 2
 
2.2%
299.2 1
 
1.1%
782.0 1
 
1.1%
115.48 1
 
1.1%
88.0 1
 
1.1%
36.8 1
 
1.1%
92.86 1
 
1.1%
98.28 1
 
1.1%
Other values (36) 36
38.7%
(Missing) 44
47.3%
ValueCountFrequency (%)
0.0 1
1.1%
7.0 1
1.1%
15.0 1
1.1%
32.0 1
1.1%
36.0 2
2.2%
36.8 1
1.1%
39.51 1
1.1%
40.0 1
1.1%
45.88 1
1.1%
50.0 2
2.2%
ValueCountFrequency (%)
4167.13 1
1.1%
2975.0 1
1.1%
782.0 1
1.1%
488.0 1
1.1%
432.0 1
1.1%
346.95 1
1.1%
299.2 1
1.1%
299.0 1
1.1%
230.44 1
1.1%
221.57 1
1.1%

소재지전화
Text

MISSING 

Distinct68
Distinct (%)95.8%
Missing22
Missing (%)23.7%
Memory size876.0 B
2023-12-12T13:41:33.392193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.070423
Min length12

Characters and Unicode

Total characters857
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

Unique65 ?
Unique (%)91.5%

Sample

1st row055-326-0079
2nd row055-328-6263
3rd row055-724-9610
4th row055-321-8026
5th row055-327-8131
ValueCountFrequency (%)
055-313-7111 2
 
2.8%
055-328-6263 2
 
2.8%
055-313-4064 2
 
2.8%
055-314-2114 1
 
1.4%
055-344-0066 1
 
1.4%
055-332-9922 1
 
1.4%
055-333-4405 1
 
1.4%
055-321-8086 1
 
1.4%
055-313-2274 1
 
1.4%
055-336-7279 1
 
1.4%
Other values (58) 58
81.7%
2023-12-12T13:41:33.861855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 163
19.0%
- 142
16.6%
0 124
14.5%
3 117
13.7%
1 71
8.3%
2 57
 
6.7%
6 49
 
5.7%
8 40
 
4.7%
7 34
 
4.0%
4 32
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 715
83.4%
Dash Punctuation 142
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 163
22.8%
0 124
17.3%
3 117
16.4%
1 71
9.9%
2 57
 
8.0%
6 49
 
6.9%
8 40
 
5.6%
7 34
 
4.8%
4 32
 
4.5%
9 28
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 857
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 163
19.0%
- 142
16.6%
0 124
14.5%
3 117
13.7%
1 71
8.3%
2 57
 
6.7%
6 49
 
5.7%
8 40
 
4.7%
7 34
 
4.0%
4 32
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 163
19.0%
- 142
16.6%
0 124
14.5%
3 117
13.7%
1 71
8.3%
2 57
 
6.7%
6 49
 
5.7%
8 40
 
4.7%
7 34
 
4.0%
4 32
 
3.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
영업/정상
84 
폐업
9 

Length

Max length5
Median length5
Mean length4.7096774
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 84
90.3%
폐업 9
 
9.7%

Length

2023-12-12T13:41:34.099351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:41:34.270731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 84
90.3%
폐업 9
 
9.7%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)88.9%
Missing84
Missing (%)90.3%
Memory size876.0 B
Minimum2012-05-07 00:00:00
Maximum2020-09-22 00:00:00
2023-12-12T13:41:34.394755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:41:34.529637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

Interactions

2023-12-12T13:41:29.185938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:41:34.626401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명지번주소도로명주소시설면적소재지전화영업상태명폐업일자
사업장명1.0000.9981.0001.0001.0001.0001.000
지번주소0.9981.0000.9971.0000.9910.1391.000
도로명주소1.0000.9971.0000.0000.9980.4761.000
시설면적1.0001.0000.0001.0001.0000.0001.000
소재지전화1.0000.9910.9981.0001.0000.0001.000
영업상태명1.0000.1390.4760.0000.0001.000NaN
폐업일자1.0001.0001.0001.0001.000NaN1.000
2023-12-12T13:41:34.789224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적영업상태명
시설면적1.0000.000
영업상태명0.0001.000

Missing values

2023-12-12T13:41:29.628740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:41:29.819217image/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.
2023-12-12T13:41:29.929202image/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

사업장명지번주소도로명주소문화체육업종명문화사업자구분명시설면적소재지전화영업상태명폐업일자
0동양종합인쇄경상남도 김해시 부원동 ***-*번지경상남도 김해시 호계로***번길 * (부원동)인쇄사출판인쇄업<NA><NA>영업/정상<NA>
1신도OA사무기경상남도 김해시 삼방동 ***-*번지경상남도 김해시 인제로***번길 *, 지하 (삼방동)인쇄사출판인쇄업<NA>055-326-0079영업/정상<NA>
2해님씨링인쇄사경상남도 김해시 부원동 ***-*번지경상남도 김해시 호계로 *** (부원동)인쇄사출판인쇄업<NA>055-328-6263영업/정상<NA>
3(주)국제프린테크경상남도 김해시 한림면 안하리 ***-*번지경상남도 김해시 한림면 안하로 ***인쇄사출판인쇄업<NA>055-724-9610영업/정상<NA>
4디자인 봄경상남도 김해시 율하동 ****번지 율현마을율하이편한세상경상남도 김해시 율하*로 ***, 율현마을율하이편한세상 ***호 (율하동)인쇄사출판인쇄업32.0055-321-8026영업/정상<NA>
5제일기획경상남도 김해시 동상동 ***번지경상남도 김해시 호계로 ***, *층 (동상동)인쇄사출판인쇄업<NA>055-327-8131영업/정상<NA>
6창일종합인쇄사경상남도 김해시 부원동 ***-**번지경상남도 김해시 활천로**번길 ** (부원동)인쇄사출판인쇄업<NA>055-322-6362영업/정상<NA>
7세종기획경상남도 김해시 부원동 **-**번지경상남도 김해시 호계로 *** (부원동)인쇄사출판인쇄업50.0055-337-9970영업/정상<NA>
8크리에이티브 마루경상남도 김해시 삼계동 ***-*번지 오션프라자 ***호경상남도 김해시 김해대로 ****-*, ***호 (삼계동,오션프라자)인쇄사출판인쇄업125.48055-313-4064영업/정상<NA>
9동남기획경상남도 김해시 서상동 **-*번지경상남도 김해시 가락로 ***-* (서상동)인쇄사출판인쇄업50.0055-336-7736영업/정상<NA>
사업장명지번주소도로명주소문화체육업종명문화사업자구분명시설면적소재지전화영업상태명폐업일자
83핸즈디자인경상남도 김해시 진영읍 진영리 ****-**번지경상남도 김해시 진영읍 진산대로**번길 *, *층인쇄사출판인쇄업<NA><NA>폐업2020-01-17
84쓰리디피디(3DPD)경상남도 김해시 어방동 ***-**번지 ***호경상남도 김해시 활천로***번길 **, ***호 (어방동)인쇄사출판인쇄업<NA><NA>폐업2015-12-23
85빅시스템즈경상남도 김해시 대청동 **-*번지 **통*반 비전타워 ***호경상남도 김해시 장유면 대청로***번길 **, ***호 (비전타워)인쇄사출판인쇄업<NA>055-314-2114폐업2020-01-15
86도시와광고(주)경상남도 김해시 부원동 ***-*번지경상남도 김해시 호계로 *** (부원동)인쇄사출판인쇄업86.0055-328-6263폐업2013-05-23
87빅시스템즈경상남도 김해시 대청동 **-*번지 **통*반 비전타워 ***호경상남도 김해시 장유면 대청로***번길 **, ***호 (비전타워)인쇄사출판인쇄업36.0<NA>폐업2020-01-15
88조은인쇄광고경상남도 김해시 구산동 ***-*번지경상남도 김해시 가락로 ***-* (구산동)인쇄사출판인쇄업88.0055-333-4405폐업2017-07-28
89김해시장애인근로사업장경상남도 김해시 대청로176번길 30 (대청동)경상남도 김해시 대청동 298-9인쇄사출판인쇄업<NA>055-312-1030영업/정상<NA>
90(주)도림미디어프린텍경상남도 김해시 칠산로265번길 12-20 (화목동)경상남도 김해시 화목동 704-17인쇄사출판인쇄업<NA><NA>영업/정상<NA>
91디지털카피경상남도 김해시 우암로63번길 4-14, 1층 (내동)경상남도 김해시 내동 1108-16인쇄사출판인쇄업<NA>070-8625-5454영업/정상<NA>
92다함경상남도 김해시 진영읍 김해대로 747, B동 101호경상남도 김해시 진영읍 설창리 601-4인쇄사출판인쇄업<NA><NA>영업/정상<NA>