Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells192
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://www.data.go.kr/data/15127259/fileData.do

Alerts

우편번호(도로명) has 111 (1.1%) missing valuesMissing

Reproduction

Analysis started2024-03-23 06:20:16.986806
Analysis finished2024-03-23 06:20:23.568519
Duration6.58 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
7659 
휴게음식점
2157 
제과점영업
 
184

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 7659
76.6%
휴게음식점 2157
 
21.6%
제과점영업 184
 
1.8%

Length

2024-03-23T06:20:23.786884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:20:24.194179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 7659
76.6%
휴게음식점 2157
 
21.6%
제과점영업 184
 
1.8%

업소명
Text

Distinct9470
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T06:20:25.090760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length7.0966
Min length1

Characters and Unicode

Total characters70966
Distinct characters1099
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

Unique9065 ?
Unique (%)90.6%

Sample

1st row페리토
2nd row아구마루
3rd row비터 스위트
4th row고가뫼 고쌈냉면 & 수제왕갈비탕
5th row어쩌다커피
ValueCountFrequency (%)
김해점 99
 
0.7%
장유점 99
 
0.7%
진영점 95
 
0.7%
세븐일레븐 86
 
0.6%
율하점 78
 
0.6%
김해율하점 70
 
0.5%
씨유 67
 
0.5%
김해진영점 66
 
0.5%
삼계점 60
 
0.4%
김해삼계점 60
 
0.4%
Other values (9748) 12736
94.2%
2024-03-23T06:20:26.889235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3519
 
5.0%
점 2820
 
4.0%
김 1523
 
2.1%
해 1497
 
2.1%
이 1318
 
1.9%
스 1025
 
1.4%
장 909
 
1.3%
리 877
 
1.2%
( 838
 
1.2%
) 838
 
1.2%
Other values (1089) 55802
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60786
85.7%
Space Separator 3519
 
5.0%
Uppercase Letter 2114
 
3.0%
Lowercase Letter 1360
 
1.9%
Decimal Number 1204
 
1.7%
Open Punctuation 838
 
1.2%
Close Punctuation 838
 
1.2%
Other Punctuation 287
 
0.4%
Dash Punctuation 8
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2820
 
4.6%
김 1523
 
2.5%
해 1497
 
2.5%
이 1318
 
2.2%
스 1025
 
1.7%
장 909
 
1.5%
리 877
 
1.4%
식 723
 
1.2%
유 712
 
1.2%
가 691
 
1.1%
Other values (1003) 48691
80.1%
Uppercase Letter
ValueCountFrequency (%)
C 208
 
9.8%
S 196
 
9.3%
E 157
 
7.4%
G 156
 
7.4%
O 154
 
7.3%
A 143
 
6.8%
B 99
 
4.7%
T 93
 
4.4%
P 92
 
4.4%
N 90
 
4.3%
Other values (16) 726
34.3%
Lowercase Letter
ValueCountFrequency (%)
e 234
17.2%
a 135
 
9.9%
o 123
 
9.0%
f 92
 
6.8%
r 80
 
5.9%
c 73
 
5.4%
i 72
 
5.3%
n 71
 
5.2%
s 63
 
4.6%
t 61
 
4.5%
Other values (15) 356
26.2%
Other Punctuation
ValueCountFrequency (%)
& 139
48.4%
. 51
 
17.8%
, 44
 
15.3%
# 11
 
3.8%
· 11
 
3.8%
' 10
 
3.5%
/ 6
 
2.1%
: 5
 
1.7%
? 4
 
1.4%
! 3
 
1.0%
Other values (2) 3
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 312
25.9%
5 203
16.9%
1 185
15.4%
0 107
 
8.9%
3 82
 
6.8%
9 81
 
6.7%
4 70
 
5.8%
6 56
 
4.7%
7 55
 
4.6%
8 53
 
4.4%
Math Symbol
ValueCountFrequency (%)
+ 2
40.0%
< 1
20.0%
> 1
20.0%
~ 1
20.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Modifier Symbol
ValueCountFrequency (%)
` 1
50.0%
´ 1
50.0%
Space Separator
ValueCountFrequency (%)
3519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 838
100.0%
Close Punctuation
ValueCountFrequency (%)
) 838
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60748
85.6%
Common 6703
 
9.4%
Latin 3477
 
4.9%
Han 36
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2820
 
4.6%
김 1523
 
2.5%
해 1497
 
2.5%
이 1318
 
2.2%
스 1025
 
1.7%
장 909
 
1.5%
리 877
 
1.4%
식 723
 
1.2%
유 712
 
1.2%
가 691
 
1.1%
Other values (974) 48653
80.1%
Latin
ValueCountFrequency (%)
e 234
 
6.7%
C 208
 
6.0%
S 196
 
5.6%
E 157
 
4.5%
G 156
 
4.5%
O 154
 
4.4%
A 143
 
4.1%
a 135
 
3.9%
o 123
 
3.5%
B 99
 
2.8%
Other values (43) 1872
53.8%
Common
ValueCountFrequency (%)
3519
52.5%
( 838
 
12.5%
) 838
 
12.5%
2 312
 
4.7%
5 203
 
3.0%
1 185
 
2.8%
& 139
 
2.1%
0 107
 
1.6%
3 82
 
1.2%
9 81
 
1.2%
Other values (23) 399
 
6.0%
Han
ValueCountFrequency (%)
家 3
 
8.3%
春 2
 
5.6%
味 2
 
5.6%
秀 2
 
5.6%
豚 2
 
5.6%
酒 2
 
5.6%
白 2
 
5.6%
月 2
 
5.6%
富 1
 
2.8%
品 1
 
2.8%
Other values (17) 17
47.2%
Hiragana
ValueCountFrequency (%)
た 1
50.0%
び 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60748
85.6%
ASCII 10165
 
14.3%
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 (%)
3519
34.6%
( 838
 
8.2%
) 838
 
8.2%
2 312
 
3.1%
e 234
 
2.3%
C 208
 
2.0%
5 203
 
2.0%
S 196
 
1.9%
1 185
 
1.8%
E 157
 
1.5%
Other values (72) 3475
34.2%
Hangul
ValueCountFrequency (%)
점 2820
 
4.6%
김 1523
 
2.5%
해 1497
 
2.5%
이 1318
 
2.2%
스 1025
 
1.7%
장 909
 
1.5%
리 877
 
1.4%
식 723
 
1.2%
유 712
 
1.2%
가 691
 
1.1%
Other values (974) 48653
80.1%
None
ValueCountFrequency (%)
· 11
91.7%
´ 1
 
8.3%
CJK
ValueCountFrequency (%)
家 3
 
8.6%
春 2
 
5.7%
味 2
 
5.7%
秀 2
 
5.7%
豚 2
 
5.7%
酒 2
 
5.7%
白 2
 
5.7%
月 2
 
5.7%
富 1
 
2.9%
品 1
 
2.9%
Other values (16) 16
45.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Hiragana
ValueCountFrequency (%)
た 1
50.0%
び 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

소재지(도로명)
Text

Distinct9199
Distinct (%)92.3%
Missing37
Missing (%)0.4%
Memory size156.2 KiB
2024-03-23T06:20:27.783323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length29.781291
Min length14

Characters and Unicode

Total characters296711
Distinct characters478
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

Unique8609 ?
Unique (%)86.4%

Sample

1st row경상남도 김해시 인제로398번길 18 (삼방동)
2nd row경상남도 김해시 경원로55번길 2 (내동,씨티빌빌딩 402호)
3rd row경상남도 김해시 율하2로222번길 10 (율하동)
4th row경상남도 김해시 해반천로130번길 17, 101호 (삼계동)
5th row경상남도 김해시 우암로73번길 11, 1층 (내동)
ValueCountFrequency (%)
김해시 9964
 
16.7%
경상남도 9963
 
16.6%
1층 3225
 
5.4%
진영읍 1031
 
1.7%
외동 694
 
1.2%
삼계동 687
 
1.1%
내동 536
 
0.9%
삼방동 523
 
0.9%
대청동 498
 
0.8%
어방동 457
 
0.8%
Other values (4659) 32262
53.9%
2024-03-23T06:20:29.280900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49899
 
16.8%
1 16337
 
5.5%
해 11443
 
3.9%
김 11107
 
3.7%
상 10920
 
3.7%
경 10157
 
3.4%
남 10107
 
3.4%
시 10090
 
3.4%
도 9989
 
3.4%
동 9872
 
3.3%
Other values (468) 146790
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165659
55.8%
Decimal Number 54670
 
18.4%
Space Separator 49899
 
16.8%
Close Punctuation 7929
 
2.7%
Open Punctuation 7929
 
2.7%
Other Punctuation 7301
 
2.5%
Dash Punctuation 2756
 
0.9%
Uppercase Letter 463
 
0.2%
Lowercase Letter 90
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 11443
 
6.9%
김 11107
 
6.7%
상 10920
 
6.6%
경 10157
 
6.1%
남 10107
 
6.1%
시 10090
 
6.1%
도 9989
 
6.0%
동 9872
 
6.0%
로 9618
 
5.8%
길 5797
 
3.5%
Other values (405) 66559
40.2%
Uppercase Letter
ValueCountFrequency (%)
A 133
28.7%
B 123
26.6%
C 49
 
10.6%
S 23
 
5.0%
G 22
 
4.8%
D 21
 
4.5%
O 15
 
3.2%
I 13
 
2.8%
N 12
 
2.6%
E 7
 
1.5%
Other values (15) 45
 
9.7%
Lowercase Letter
ValueCountFrequency (%)
o 27
30.0%
d 14
15.6%
i 10
 
11.1%
t 9
 
10.0%
e 9
 
10.0%
y 9
 
10.0%
n 3
 
3.3%
a 3
 
3.3%
k 2
 
2.2%
c 2
 
2.2%
Other values (2) 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 16337
29.9%
2 7985
14.6%
3 5284
 
9.7%
0 5032
 
9.2%
4 4321
 
7.9%
5 3894
 
7.1%
6 3346
 
6.1%
7 3034
 
5.5%
9 2813
 
5.1%
8 2624
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 7262
99.5%
. 16
 
0.2%
/ 11
 
0.2%
: 7
 
0.1%
· 4
 
0.1%
* 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
57.1%
Ⅱ 2
28.6%
Ⅲ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 7928
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7928
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
49899
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2756
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165659
55.8%
Common 130492
44.0%
Latin 560
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 11443
 
6.9%
김 11107
 
6.7%
상 10920
 
6.6%
경 10157
 
6.1%
남 10107
 
6.1%
시 10090
 
6.1%
도 9989
 
6.0%
동 9872
 
6.0%
로 9618
 
5.8%
길 5797
 
3.5%
Other values (405) 66559
40.2%
Latin
ValueCountFrequency (%)
A 133
23.8%
B 123
22.0%
C 49
 
8.8%
o 27
 
4.8%
S 23
 
4.1%
G 22
 
3.9%
D 21
 
3.8%
O 15
 
2.7%
d 14
 
2.5%
I 13
 
2.3%
Other values (30) 120
21.4%
Common
ValueCountFrequency (%)
49899
38.2%
1 16337
 
12.5%
2 7985
 
6.1%
) 7928
 
6.1%
( 7928
 
6.1%
, 7262
 
5.6%
3 5284
 
4.0%
0 5032
 
3.9%
4 4321
 
3.3%
5 3894
 
3.0%
Other values (13) 14622
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165659
55.8%
ASCII 131041
44.2%
Number Forms 7
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49899
38.1%
1 16337
 
12.5%
2 7985
 
6.1%
) 7928
 
6.1%
( 7928
 
6.1%
, 7262
 
5.5%
3 5284
 
4.0%
0 5032
 
3.8%
4 4321
 
3.3%
5 3894
 
3.0%
Other values (49) 15171
 
11.6%
Hangul
ValueCountFrequency (%)
해 11443
 
6.9%
김 11107
 
6.7%
상 10920
 
6.6%
경 10157
 
6.1%
남 10107
 
6.1%
시 10090
 
6.1%
도 9989
 
6.0%
동 9872
 
6.0%
로 9618
 
5.8%
길 5797
 
3.5%
Other values (405) 66559
40.2%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
57.1%
Ⅱ 2
28.6%
Ⅲ 1
 
14.3%

소재지(지번)
Text

Distinct9070
Distinct (%)91.1%
Missing44
Missing (%)0.4%
Memory size156.2 KiB
2024-03-23T06:20:30.180236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length24.242768
Min length15

Characters and Unicode

Total characters241361
Distinct characters471
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

Unique8409 ?
Unique (%)84.5%

Sample

1st row경상남도 김해시 삼방동 1157-5 외1필지
2nd row경상남도 김해시 내동 1121-4 씨티빌빌딩 402호
3rd row경상남도 김해시 율하동 1378-6
4th row경상남도 김해시 삼계동 1502-7 101호
5th row경상남도 김해시 내동 1107-2
ValueCountFrequency (%)
김해시 9957
19.6%
경상남도 9956
19.6%
1층 1818
 
3.6%
진영읍 1034
 
2.0%
외동 772
 
1.5%
삼계동 734
 
1.4%
대청동 642
 
1.3%
진영리 632
 
1.2%
내동 604
 
1.2%
삼방동 534
 
1.0%
Other values (7614) 24200
47.6%
2024-03-23T06:20:31.704596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49080
20.3%
1 16776
 
7.0%
상 10875
 
4.5%
해 10128
 
4.2%
김 10103
 
4.2%
시 10072
 
4.2%
경 10043
 
4.2%
남 9999
 
4.1%
도 9988
 
4.1%
동 9580
 
4.0%
Other values (461) 94717
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126344
52.3%
Decimal Number 55654
23.1%
Space Separator 49080
 
20.3%
Dash Punctuation 8936
 
3.7%
Other Punctuation 696
 
0.3%
Uppercase Letter 422
 
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 (%)
상 10875
 
8.6%
해 10128
 
8.0%
김 10103
 
8.0%
시 10072
 
8.0%
경 10043
 
7.9%
남 9999
 
7.9%
도 9988
 
7.9%
동 9580
 
7.6%
호 2509
 
2.0%
층 2332
 
1.8%
Other values (402) 40715
32.2%
Uppercase Letter
ValueCountFrequency (%)
B 122
28.9%
A 121
28.7%
C 34
 
8.1%
S 23
 
5.5%
G 20
 
4.7%
D 17
 
4.0%
L 13
 
3.1%
I 13
 
3.1%
O 11
 
2.6%
N 9
 
2.1%
Other values (14) 39
 
9.2%
Lowercase Letter
ValueCountFrequency (%)
o 27
31.8%
d 13
15.3%
t 9
 
10.6%
i 9
 
10.6%
y 9
 
10.6%
e 8
 
9.4%
n 3
 
3.5%
c 2
 
2.4%
a 2
 
2.4%
g 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 16776
30.1%
2 6277
 
11.3%
0 5794
 
10.4%
3 5102
 
9.2%
4 4421
 
7.9%
6 4279
 
7.7%
5 4021
 
7.2%
8 3120
 
5.6%
7 3053
 
5.5%
9 2811
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 664
95.4%
. 15
 
2.2%
/ 9
 
1.3%
: 4
 
0.6%
' 2
 
0.3%
· 2
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 1
25.0%
Ⅰ 1
25.0%
Space Separator
ValueCountFrequency (%)
49080
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8936
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 126344
52.3%
Common 114506
47.4%
Latin 511
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 10875
 
8.6%
해 10128
 
8.0%
김 10103
 
8.0%
시 10072
 
8.0%
경 10043
 
7.9%
남 9999
 
7.9%
도 9988
 
7.9%
동 9580
 
7.6%
호 2509
 
2.0%
층 2332
 
1.8%
Other values (402) 40715
32.2%
Latin
ValueCountFrequency (%)
B 122
23.9%
A 121
23.7%
C 34
 
6.7%
o 27
 
5.3%
S 23
 
4.5%
G 20
 
3.9%
D 17
 
3.3%
d 13
 
2.5%
L 13
 
2.5%
I 13
 
2.5%
Other values (28) 108
21.1%
Common
ValueCountFrequency (%)
49080
42.9%
1 16776
 
14.7%
- 8936
 
7.8%
2 6277
 
5.5%
0 5794
 
5.1%
3 5102
 
4.5%
4 4421
 
3.9%
6 4279
 
3.7%
5 4021
 
3.5%
8 3120
 
2.7%
Other values (11) 6700
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126341
52.3%
ASCII 115011
47.7%
Number Forms 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49080
42.7%
1 16776
 
14.6%
- 8936
 
7.8%
2 6277
 
5.5%
0 5794
 
5.0%
3 5102
 
4.4%
4 4421
 
3.8%
6 4279
 
3.7%
5 4021
 
3.5%
8 3120
 
2.7%
Other values (45) 7205
 
6.3%
Hangul
ValueCountFrequency (%)
상 10875
 
8.6%
해 10128
 
8.0%
김 10103
 
8.0%
시 10072
 
8.0%
경 10043
 
7.9%
남 9999
 
7.9%
도 9988
 
7.9%
동 9580
 
7.6%
호 2509
 
2.0%
층 2332
 
1.8%
Other values (399) 40712
32.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 1
25.0%
Ⅰ 1
25.0%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
33.3%
ㅡ 1
33.3%
ㅊ 1
33.3%

영업자시작일
Date

Distinct3325
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1971-07-07 00:00:00
Maximum2024-01-31 00:00:00
2024-03-23T06:20:32.314298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:20:32.752593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

우편번호(도로명)
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)2.2%
Missing111
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean50922.327
Minimum50800
Maximum51025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T06:20:33.332230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50800
5-th percentile50813
Q150867
median50925
Q350981
95-th percentile51019
Maximum51025
Range225
Interquartile range (IQR)114

Descriptive statistics

Standard deviation65.078615
Coefficient of variation (CV)0.0012779977
Kurtosis-1.0890648
Mean50922.327
Median Absolute Deviation (MAD)57
Skewness-0.13541973
Sum5.035709 × 108
Variance4235.2261
MonotonicityNot monotonic
2024-03-23T06:20:33.842757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50948 472
 
4.7%
50862 312
 
3.1%
50901 288
 
2.9%
51014 265
 
2.6%
50858 206
 
2.1%
51019 169
 
1.7%
51004 163
 
1.6%
50989 157
 
1.6%
50955 136
 
1.4%
50814 134
 
1.3%
Other values (211) 7587
75.9%
ValueCountFrequency (%)
50800 28
0.3%
50801 37
0.4%
50802 37
0.4%
50803 6
 
0.1%
50804 43
0.4%
50805 64
0.6%
50806 7
 
0.1%
50807 17
 
0.2%
50808 53
0.5%
50809 16
 
0.2%
ValueCountFrequency (%)
51025 73
0.7%
51024 16
 
0.2%
51023 26
 
0.3%
51022 75
0.8%
51021 34
 
0.3%
51020 134
1.3%
51019 169
1.7%
51018 85
0.9%
51017 48
 
0.5%
51016 54
 
0.5%

Interactions

2024-03-23T06:20:21.806994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:20:34.211523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명우편번호(도로명)
업종명1.0000.084
우편번호(도로명)0.0841.000
2024-03-23T06:20:34.741277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호(도로명)업종명
우편번호(도로명)1.0000.049
업종명0.0491.000

Missing values

2024-03-23T06:20:22.357221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:20:22.742326image/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.
2024-03-23T06:20:23.172725image/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)
5521일반음식점페리토경상남도 김해시 인제로398번길 18 (삼방동)경상남도 김해시 삼방동 1157-5 외1필지2019-4-2350930
979일반음식점아구마루경상남도 김해시 경원로55번길 2 (내동,씨티빌빌딩 402호)경상남도 김해시 내동 1121-4 씨티빌빌딩 402호2008-8-651014
8594휴게음식점비터 스위트경상남도 김해시 율하2로222번길 10 (율하동)경상남도 김해시 율하동 1378-62018-5-3050984
3195일반음식점고가뫼 고쌈냉면 & 수제왕갈비탕경상남도 김해시 해반천로130번길 17, 101호 (삼계동)경상남도 김해시 삼계동 1502-7 101호2022-11-1451003
9922휴게음식점어쩌다커피경상남도 김해시 우암로73번길 11, 1층 (내동)경상남도 김해시 내동 1107-22023-3-2750966
888일반음식점산내경상남도 김해시 경원로11번길 17-15 (내동)경상남도 김해시 내동 1089-12019-5-350994
1678일반음식점오공복이장유점경상남도 김해시 삼문로 19 (대청동, 대암월드피아105호)경상남도 김해시 대청동 317-1 대암월드피아105호2021-11-150988
5123일반음식점자바경상남도 김해시 경원로55번길 2 (내동,씨티빌B/D 301호)경상남도 김해시 내동 1121-4 씨티빌B/D 301호2014-10-2850819
9463휴게음식점써브웨이 김해이마트점경상남도 김해시 김해대로 2232, 이마트김해점 1층 (외동)경상남도 김해시 외동 1264 이마트 김해점 1층2020-4-1750920
3403일반음식점이바돔감자탕장유율하점경상남도 김해시 율하3로 21, 202,203호 (율하동, 율하메디컬빌딩)경상남도 김해시 율하동 1340-2 율하메디컬빌딩,202호,203호2015-9-1450939
업종명업소명소재지(도로명)소재지(지번)영업자시작일우편번호(도로명)
3362일반음식점그집경상남도 김해시 번화1로56번길 19, 피닉스빌딩 106호 (대청동)경상남도 김해시 대청동 318-14 피닉스빌딩 106호2019-9-1750870
9415휴게음식점숙이네 김밥경상남도 김해시 진영읍 서부로 305, 1층경상남도 김해시 진영읍 의전리 60-1 1층2019-11-1851018
6555일반음식점우신랑돈각시(장유점)경상남도 김해시 장유로 289-10, 1층 (무계동)경상남도 김해시 무계동 191-30 1층2022-2-2250912
7276일반음식점피어어피어경상남도 김해시 진례면 진례로 139-5, 1층경상남도 김해시 진례면 송정리 659-12023-5-2651002
1169일반음식점콩's 떡볶이경상남도 김해시 김해대로1902번길 62, 211(상가)동 106호 (구산동, 구산 이진캐스빌2단지아파트)경상남도 김해시 구산동 1076 211(상가)동 106호2020-5-2050924
167일반음식점김해돼지국밥경상남도 김해시 금관대로599번길 14-10 (내덕동)경상남도 김해시 내덕동 221-122017-3-950814
6276일반음식점민따이또관 베트남쌀국수경상남도 김해시 가락로93번길 5, 1층 (서상동)경상남도 김해시 서상동 54-22021-6-2950897
3571일반음식점송이뒷고기경상남도 김해시 인제로11번길 54-14, 103호 (삼정동, 한솔그린빌라트2동(상가))경상남도 김해시 삼정동 658-6 한송그린빌라트2동(상가) 103호2014-10-150865
2584일반음식점이가집밥경상남도 김해시 유하로29번길 12 (내덕동)<NA>2020-5-1150979
10121휴게음식점씨유 김해부원시티점경상남도 김해시 김해대로2385번길 6 (부원동)경상남도 김해시 부원동 624-12023-12-1350838