Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells189
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Categorical1
Text3
DateTime1
Numeric1

Dataset

Description경상남도 김해시 일반음식점, 휴게음식점, 제과점에 대한 정보로 업종명, 업소명, 소재지 주소, 영업자시작일, 우편번호 등의 데이터를 제공하고 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15127259

Alerts

우편번호(도로명) has 107 (1.1%) missing valuesMissing

Reproduction

Analysis started2024-03-23 07:19:13.893258
Analysis finished2024-03-23 07:19:19.469577
Duration5.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
7655 
휴게음식점
2156 
제과점영업
 
189

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 7655
76.5%
휴게음식점 2156
 
21.6%
제과점영업 189
 
1.9%

Length

2024-03-23T07:19:19.705133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:19:20.096690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 7655
76.5%
휴게음식점 2156
 
21.6%
제과점영업 189
 
1.9%
Distinct9480
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T07:19:20.924484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length7.1129
Min length1

Characters and Unicode

Total characters71129
Distinct characters1097
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9083 ?
Unique (%)90.8%

Sample

1st row장터국수
2nd row그린빈
3rd row참다랑어막주는집
4th row청산에머문자리
5th row육회와연어
ValueCountFrequency (%)
김해점 104
 
0.8%
장유점 98
 
0.7%
진영점 95
 
0.7%
세븐일레븐 86
 
0.6%
율하점 75
 
0.6%
씨유 69
 
0.5%
김해율하점 69
 
0.5%
김해진영점 64
 
0.5%
삼계점 60
 
0.4%
김해삼계점 60
 
0.4%
Other values (9767) 12752
94.2%
2024-03-23T07:19:22.594904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3535
 
5.0%
2838
 
4.0%
1539
 
2.2%
1514
 
2.1%
1323
 
1.9%
1026
 
1.4%
914
 
1.3%
888
 
1.2%
) 844
 
1.2%
( 844
 
1.2%
Other values (1087) 55864
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60864
85.6%
Space Separator 3535
 
5.0%
Uppercase Letter 2121
 
3.0%
Lowercase Letter 1404
 
2.0%
Decimal Number 1202
 
1.7%
Close Punctuation 844
 
1.2%
Open Punctuation 844
 
1.2%
Other Punctuation 294
 
0.4%
Dash Punctuation 9
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2838
 
4.7%
1539
 
2.5%
1514
 
2.5%
1323
 
2.2%
1026
 
1.7%
914
 
1.5%
888
 
1.5%
723
 
1.2%
718
 
1.2%
683
 
1.1%
Other values (1001) 48698
80.0%
Uppercase Letter
ValueCountFrequency (%)
C 213
 
10.0%
S 198
 
9.3%
G 157
 
7.4%
E 155
 
7.3%
O 153
 
7.2%
A 141
 
6.6%
B 98
 
4.6%
T 95
 
4.5%
P 94
 
4.4%
N 88
 
4.1%
Other values (16) 729
34.4%
Lowercase Letter
ValueCountFrequency (%)
e 245
17.5%
a 135
 
9.6%
o 128
 
9.1%
f 96
 
6.8%
r 82
 
5.8%
i 72
 
5.1%
c 72
 
5.1%
n 72
 
5.1%
s 68
 
4.8%
t 64
 
4.6%
Other values (15) 370
26.4%
Other Punctuation
ValueCountFrequency (%)
& 145
49.3%
. 52
 
17.7%
, 45
 
15.3%
· 11
 
3.7%
# 11
 
3.7%
' 10
 
3.4%
: 5
 
1.7%
/ 5
 
1.7%
? 4
 
1.4%
! 3
 
1.0%
Other values (2) 3
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 312
26.0%
5 205
17.1%
1 187
15.6%
0 106
 
8.8%
9 82
 
6.8%
3 79
 
6.6%
4 70
 
5.8%
7 55
 
4.6%
6 53
 
4.4%
8 53
 
4.4%
Math Symbol
ValueCountFrequency (%)
+ 2
40.0%
~ 1
20.0%
< 1
20.0%
> 1
20.0%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Modifier Symbol
ValueCountFrequency (%)
` 1
50.0%
´ 1
50.0%
Space Separator
ValueCountFrequency (%)
3535
100.0%
Close Punctuation
ValueCountFrequency (%)
) 844
100.0%
Open Punctuation
ValueCountFrequency (%)
( 844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60826
85.5%
Common 6737
 
9.5%
Latin 3528
 
5.0%
Han 36
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2838
 
4.7%
1539
 
2.5%
1514
 
2.5%
1323
 
2.2%
1026
 
1.7%
914
 
1.5%
888
 
1.5%
723
 
1.2%
718
 
1.2%
683
 
1.1%
Other values (972) 48660
80.0%
Latin
ValueCountFrequency (%)
e 245
 
6.9%
C 213
 
6.0%
S 198
 
5.6%
G 157
 
4.5%
E 155
 
4.4%
O 153
 
4.3%
A 141
 
4.0%
a 135
 
3.8%
o 128
 
3.6%
B 98
 
2.8%
Other values (43) 1905
54.0%
Common
ValueCountFrequency (%)
3535
52.5%
) 844
 
12.5%
( 844
 
12.5%
2 312
 
4.6%
5 205
 
3.0%
1 187
 
2.8%
& 145
 
2.2%
0 106
 
1.6%
9 82
 
1.2%
3 79
 
1.2%
Other values (23) 398
 
5.9%
Han
ValueCountFrequency (%)
3
 
8.3%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
Other values (17) 17
47.2%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60826
85.5%
ASCII 10250
 
14.4%
CJK 35
 
< 0.1%
None 12
 
< 0.1%
Number Forms 3
 
< 0.1%
Hiragana 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3535
34.5%
) 844
 
8.2%
( 844
 
8.2%
2 312
 
3.0%
e 245
 
2.4%
C 213
 
2.1%
5 205
 
2.0%
S 198
 
1.9%
1 187
 
1.8%
G 157
 
1.5%
Other values (72) 3510
34.2%
Hangul
ValueCountFrequency (%)
2838
 
4.7%
1539
 
2.5%
1514
 
2.5%
1323
 
2.2%
1026
 
1.7%
914
 
1.5%
888
 
1.5%
723
 
1.2%
718
 
1.2%
683
 
1.1%
Other values (972) 48660
80.0%
None
ValueCountFrequency (%)
· 11
91.7%
´ 1
 
8.3%
CJK
ValueCountFrequency (%)
3
 
8.6%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
Other values (16) 16
45.7%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct9206
Distinct (%)92.4%
Missing38
Missing (%)0.4%
Memory size156.2 KiB
2024-03-23T07:19:23.421113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length29.795222
Min length14

Characters and Unicode

Total characters296820
Distinct characters477
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8622 ?
Unique (%)86.5%

Sample

1st row경상남도 김해시 대동면 동남로49번길 7-44
2nd row경상남도 김해시 금관대로1209번길 19 (외동)
3rd row경상남도 김해시 경원로55번길 20, 동화 오피스텔 1층 102호 (내동)
4th row경상남도 김해시 대청계곡길 124
5th row경상남도 김해시 번화2로28번길 5-16 (삼문동)
ValueCountFrequency (%)
김해시 9963
 
16.6%
경상남도 9962
 
16.6%
1층 3231
 
5.4%
진영읍 1032
 
1.7%
외동 695
 
1.2%
삼계동 687
 
1.1%
내동 533
 
0.9%
삼방동 527
 
0.9%
대청동 505
 
0.8%
어방동 448
 
0.7%
Other values (4660) 32296
53.9%
2024-03-23T07:19:24.907563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49938
 
16.8%
1 16309
 
5.5%
11443
 
3.9%
11107
 
3.7%
10916
 
3.7%
10153
 
3.4%
10106
 
3.4%
10090
 
3.4%
9986
 
3.4%
9877
 
3.3%
Other values (467) 146895
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165776
55.9%
Decimal Number 54636
 
18.4%
Space Separator 49938
 
16.8%
Close Punctuation 7923
 
2.7%
Open Punctuation 7923
 
2.7%
Other Punctuation 7314
 
2.5%
Dash Punctuation 2743
 
0.9%
Uppercase Letter 461
 
0.2%
Lowercase Letter 91
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11443
 
6.9%
11107
 
6.7%
10916
 
6.6%
10153
 
6.1%
10106
 
6.1%
10090
 
6.1%
9986
 
6.0%
9877
 
6.0%
9604
 
5.8%
5805
 
3.5%
Other values (404) 66689
40.2%
Uppercase Letter
ValueCountFrequency (%)
A 131
28.4%
B 123
26.7%
C 48
 
10.4%
S 23
 
5.0%
D 22
 
4.8%
G 22
 
4.8%
O 13
 
2.8%
I 13
 
2.8%
N 12
 
2.6%
K 8
 
1.7%
Other values (15) 46
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 27
29.7%
d 14
15.4%
i 10
 
11.0%
e 10
 
11.0%
y 9
 
9.9%
t 9
 
9.9%
a 3
 
3.3%
n 3
 
3.3%
k 2
 
2.2%
c 2
 
2.2%
Other values (2) 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 16309
29.9%
2 7972
14.6%
3 5292
 
9.7%
0 5032
 
9.2%
4 4320
 
7.9%
5 3872
 
7.1%
6 3347
 
6.1%
7 3043
 
5.6%
9 2837
 
5.2%
8 2612
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 7274
99.5%
. 15
 
0.2%
/ 12
 
0.2%
: 7
 
0.1%
· 4
 
0.1%
* 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 7921
> 99.9%
] 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7921
> 99.9%
[ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
49938
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2743
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165776
55.9%
Common 130485
44.0%
Latin 559
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11443
 
6.9%
11107
 
6.7%
10916
 
6.6%
10153
 
6.1%
10106
 
6.1%
10090
 
6.1%
9986
 
6.0%
9877
 
6.0%
9604
 
5.8%
5805
 
3.5%
Other values (404) 66689
40.2%
Latin
ValueCountFrequency (%)
A 131
23.4%
B 123
22.0%
C 48
 
8.6%
o 27
 
4.8%
S 23
 
4.1%
D 22
 
3.9%
G 22
 
3.9%
d 14
 
2.5%
O 13
 
2.3%
I 13
 
2.3%
Other values (30) 123
22.0%
Common
ValueCountFrequency (%)
49938
38.3%
1 16309
 
12.5%
2 7972
 
6.1%
) 7921
 
6.1%
( 7921
 
6.1%
, 7274
 
5.6%
3 5292
 
4.1%
0 5032
 
3.9%
4 4320
 
3.3%
5 3872
 
3.0%
Other values (13) 14634
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165776
55.9%
ASCII 131033
44.1%
Number Forms 7
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49938
38.1%
1 16309
 
12.4%
2 7972
 
6.1%
) 7921
 
6.0%
( 7921
 
6.0%
, 7274
 
5.6%
3 5292
 
4.0%
0 5032
 
3.8%
4 4320
 
3.3%
5 3872
 
3.0%
Other values (49) 15182
 
11.6%
Hangul
ValueCountFrequency (%)
11443
 
6.9%
11107
 
6.7%
10916
 
6.6%
10153
 
6.1%
10106
 
6.1%
10090
 
6.1%
9986
 
6.0%
9877
 
6.0%
9604
 
5.8%
5805
 
3.5%
Other values (404) 66689
40.2%
Number Forms
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
None
ValueCountFrequency (%)
· 4
100.0%
Distinct9079
Distinct (%)91.2%
Missing44
Missing (%)0.4%
Memory size156.2 KiB
2024-03-23T07:19:25.772776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length24.265368
Min length15

Characters and Unicode

Total characters241586
Distinct characters467
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8422 ?
Unique (%)84.6%

Sample

1st row경상남도 김해시 대동면 초정리 13-470
2nd row경상남도 김해시 외동 698-6
3rd row경상남도 김해시 내동 1124-1 동화 오피스텔 102호
4th row경상남도 김해시 대청동 814
5th row경상남도 김해시 삼문동 577-12
ValueCountFrequency (%)
김해시 9957
19.5%
경상남도 9956
19.5%
1층 1826
 
3.6%
진영읍 1034
 
2.0%
외동 772
 
1.5%
삼계동 736
 
1.4%
대청동 647
 
1.3%
진영리 635
 
1.2%
내동 603
 
1.2%
삼방동 538
 
1.1%
Other values (7636) 24244
47.6%
2024-03-23T07:19:27.251445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49149
20.3%
1 16801
 
7.0%
10872
 
4.5%
10133
 
4.2%
10108
 
4.2%
10073
 
4.2%
10043
 
4.2%
9999
 
4.1%
9986
 
4.1%
9588
 
4.0%
Other values (457) 94834
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126487
52.4%
Decimal Number 55667
23.0%
Space Separator 49149
 
20.3%
Dash Punctuation 8929
 
3.7%
Other Punctuation 700
 
0.3%
Uppercase Letter 425
 
0.2%
Lowercase Letter 85
 
< 0.1%
Open Punctuation 68
 
< 0.1%
Close Punctuation 65
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10872
 
8.6%
10133
 
8.0%
10108
 
8.0%
10073
 
8.0%
10043
 
7.9%
9999
 
7.9%
9986
 
7.9%
9588
 
7.6%
2509
 
2.0%
2336
 
1.8%
Other values (398) 40840
32.3%
Uppercase Letter
ValueCountFrequency (%)
B 125
29.4%
A 120
28.2%
C 33
 
7.8%
S 23
 
5.4%
G 20
 
4.7%
D 18
 
4.2%
L 14
 
3.3%
I 13
 
3.1%
N 9
 
2.1%
O 9
 
2.1%
Other values (14) 41
 
9.6%
Lowercase Letter
ValueCountFrequency (%)
o 27
31.8%
d 13
15.3%
y 9
 
10.6%
t 9
 
10.6%
i 9
 
10.6%
e 8
 
9.4%
n 3
 
3.5%
a 2
 
2.4%
c 2
 
2.4%
g 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 16801
30.2%
2 6255
 
11.2%
0 5809
 
10.4%
3 5086
 
9.1%
4 4443
 
8.0%
6 4275
 
7.7%
5 4012
 
7.2%
8 3125
 
5.6%
7 3044
 
5.5%
9 2817
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 668
95.4%
. 14
 
2.0%
/ 10
 
1.4%
: 4
 
0.6%
· 2
 
0.3%
' 2
 
0.3%
Letter Number
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Space Separator
ValueCountFrequency (%)
49149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8929
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126487
52.4%
Common 114585
47.4%
Latin 514
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10872
 
8.6%
10133
 
8.0%
10108
 
8.0%
10073
 
8.0%
10043
 
7.9%
9999
 
7.9%
9986
 
7.9%
9588
 
7.6%
2509
 
2.0%
2336
 
1.8%
Other values (398) 40840
32.3%
Latin
ValueCountFrequency (%)
B 125
24.3%
A 120
23.3%
C 33
 
6.4%
o 27
 
5.3%
S 23
 
4.5%
G 20
 
3.9%
D 18
 
3.5%
L 14
 
2.7%
d 13
 
2.5%
I 13
 
2.5%
Other values (28) 108
21.0%
Common
ValueCountFrequency (%)
49149
42.9%
1 16801
 
14.7%
- 8929
 
7.8%
2 6255
 
5.5%
0 5809
 
5.1%
3 5086
 
4.4%
4 4443
 
3.9%
6 4275
 
3.7%
5 4012
 
3.5%
8 3125
 
2.7%
Other values (11) 6701
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126486
52.4%
ASCII 115093
47.6%
Number Forms 4
 
< 0.1%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49149
42.7%
1 16801
 
14.6%
- 8929
 
7.8%
2 6255
 
5.4%
0 5809
 
5.0%
3 5086
 
4.4%
4 4443
 
3.9%
6 4275
 
3.7%
5 4012
 
3.5%
8 3125
 
2.7%
Other values (45) 7209
 
6.3%
Hangul
ValueCountFrequency (%)
10872
 
8.6%
10133
 
8.0%
10108
 
8.0%
10073
 
8.0%
10043
 
7.9%
9999
 
7.9%
9986
 
7.9%
9588
 
7.6%
2509
 
2.0%
2336
 
1.8%
Other values (397) 40839
32.3%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct3317
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1971-07-07 00:00:00
Maximum2024-01-31 00:00:00
2024-03-23T07:19:27.805922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:19:28.323484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

우편번호(도로명)
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)2.2%
Missing107
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean50922.338
Minimum50800
Maximum51026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:19:28.969845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50800
5-th percentile50813
Q150867
median50925
Q350981
95-th percentile51019
Maximum51026
Range226
Interquartile range (IQR)114

Descriptive statistics

Standard deviation65.180289
Coefficient of variation (CV)0.0012799941
Kurtosis-1.0920062
Mean50922.338
Median Absolute Deviation (MAD)57
Skewness-0.1339045
Sum5.0377468 × 108
Variance4248.4701
MonotonicityNot monotonic
2024-03-23T07:19:29.637756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50948 472
 
4.7%
50862 315
 
3.1%
50901 289
 
2.9%
51014 269
 
2.7%
50858 205
 
2.1%
51019 172
 
1.7%
51004 166
 
1.7%
50989 155
 
1.6%
50955 139
 
1.4%
51020 137
 
1.4%
Other values (212) 7574
75.7%
ValueCountFrequency (%)
50800 27
0.3%
50801 40
0.4%
50802 37
0.4%
50803 6
 
0.1%
50804 43
0.4%
50805 66
0.7%
50806 7
 
0.1%
50807 17
 
0.2%
50808 53
0.5%
50809 16
 
0.2%
ValueCountFrequency (%)
51026 1
 
< 0.1%
51025 70
0.7%
51024 16
 
0.2%
51023 25
 
0.2%
51022 75
0.8%
51021 36
 
0.4%
51020 137
1.4%
51019 172
1.7%
51018 83
0.8%
51017 49
 
0.5%

Interactions

2024-03-23T07:19:17.914727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:19:30.073506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명우편번호(도로명)
업종명1.0000.085
우편번호(도로명)0.0851.000
2024-03-23T07:19:30.401850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호(도로명)업종명
우편번호(도로명)1.0000.050
업종명0.0501.000

Missing values

2024-03-23T07:19:18.294932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:19:18.906078image/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.
2024-03-23T07:19:19.296705image/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

업종명업소명소재지(도로명)소재지(지번)영업자시작일우편번호(도로명)
1117일반음식점장터국수경상남도 김해시 대동면 동남로49번길 7-44경상남도 김해시 대동면 초정리 13-4702000-8-950983
6474일반음식점그린빈경상남도 김해시 금관대로1209번길 19 (외동)경상남도 김해시 외동 698-62022-9-1950858
7492일반음식점참다랑어막주는집경상남도 김해시 경원로55번길 20, 동화 오피스텔 1층 102호 (내동)경상남도 김해시 내동 1124-1 동화 오피스텔 102호2023-9-1350996
5114일반음식점청산에머문자리경상남도 김해시 대청계곡길 124경상남도 김해시 대청동 8142015-2-1350876
1877일반음식점육회와연어경상남도 김해시 번화2로28번길 5-16 (삼문동)경상남도 김해시 삼문동 577-122023-6-2750939
1460일반음식점창녕식당경상남도 김해시 진영읍 진영로109번길 45-1경상남도 김해시 진영읍 진영리 275-222002-9-750837
7208일반음식점경상남도 김해시 봉황대안길 43 (봉황동)경상남도 김해시 봉황동 1822023-4-2850818
1599일반음식점대롱이숯불두마리치킨경상남도 김해시 김해대로1902번길 39, 1층 (구산동)경상남도 김해시 구산동 826 1층2023-9-2050956
3558일반음식점거북집경상남도 김해시 관동로12번길 13-12 (관동리)경상남도 김해시 관동동 1053-42021-4-2350827
7469일반음식점오히루텐경상남도 김해시 봉황대길 50, 1층 (봉황동)경상남도 김해시 봉황동 223-4 1층2023-12-1450966
업종명업소명소재지(도로명)소재지(지번)영업자시작일우편번호(도로명)
617일반음식점한림정식당경상남도 김해시 김해대로2385번길 8-8 (부원동)경상남도 김해시 부원동 624-102012-2-350944
5424일반음식점쌀통닭외동점경상남도 김해시 우암로31번길 6-1 (외동)경상남도 김해시 외동 1189-52017-1-1151000
8940휴게음식점CU 장유횃불점경상남도 김해시 능동로21번길 4-4, 1층 102호 (삼문동)경상남도 김해시 삼문동 79-1 102호2019-8-550901
9711휴게음식점정직유부 인제대점경상남도 김해시 인제로 186, 다솜빌딩 1층 (어방동)경상남도 김해시 어방동 528-1 다솜빌딩2022-1-1150814
9736휴게음식점씨유 김해삼방동원타운점경상남도 김해시 삼안로 224, 동원아파트 상가11동 103호 (삼방동)경상남도 김해시 삼방동 690-1 동원아파트 상가11동 103호2022-3-1750926
4729일반음식점향미식당경상남도 김해시 한림면 명동로60번길 22경상남도 김해시 한림면 명동리 2302010-7-250973
3108일반음식점삼육오족발찜닭경상남도 김해시 해반천로144번길 29-26 (삼계동)경상남도 김해시 삼계동 1462-52015-4-150910
621일반음식점마금산쌀막걸리경상남도 김해시 삼안로 133 (삼방동)경상남도 김해시 삼방동 33-22009-9-150924
1655일반음식점장수촌두부마당경상남도 김해시 김해대로 2455 (삼정동)경상남도 김해시 삼정동 617-32012-12-2050948
3676일반음식점오구야오구야경상남도 김해시 금관대로1183번길 3-23 (외동)경상남도 김해시 외동 704-22012-4-250905