Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells172
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory703.1 KiB
Average record size in memory72.0 B

Variable types

Text3
DateTime1
Categorical4

Dataset

Description경상남도 빅데이터 허브 플랫폼 DB 내 인허가 음식점 중 정상 영업상태인 업장에 대한 데이터로, 사업장명, 주소, 인허가일자, 영업상태, 업태구분(한식, 양식, 패밀리레스토랑, 카페 등), 음식점 구분(일반, 휴게 등) 정보를 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/15122775/fileData.do

Alerts

영업상태 has constant value ""Constant
음식점 구분 is highly overall correlated with 상세영업상태 and 1 other fieldsHigh correlation
상세영업상태 is highly overall correlated with 업태구분 and 1 other fieldsHigh correlation
업태구분 is highly overall correlated with 상세영업상태 and 1 other fieldsHigh correlation
상세영업상태 is highly imbalanced (99.9%)Imbalance
음식점 구분 is highly imbalanced (52.4%)Imbalance
도로명주소 has 119 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:10:56.021863
Analysis finished2023-12-12 21:10:58.442554
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct9449
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:10:58.943346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length6.3649
Min length1

Characters and Unicode

Total characters63649
Distinct characters1054
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9064 ?
Unique (%)90.6%

Sample

1st row붕붕한식당
2nd row큰집막창
3rd row송림회관
4th row정이품
5th row정현이네부엌
ValueCountFrequency (%)
세븐일레븐 30
 
0.3%
씨유 30
 
0.3%
gs25 28
 
0.2%
카페 24
 
0.2%
지에스25 20
 
0.2%
양산점 20
 
0.2%
거제점 14
 
0.1%
coffee 14
 
0.1%
거제고현점 14
 
0.1%
컴포즈커피 13
 
0.1%
Other values (10036) 11584
98.2%
2023-12-13T06:10:59.519529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2110
 
3.3%
1814
 
2.9%
식 1260
 
2.0%
이 1147
 
1.8%
당 964
 
1.5%
스 859
 
1.3%
리 794
 
1.2%
산 745
 
1.2%
) 633
 
1.0%
( 633
 
1.0%
Other values (1044) 52690
82.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56682
89.1%
Space Separator 1814
 
2.9%
Uppercase Letter 1388
 
2.2%
Lowercase Letter 1200
 
1.9%
Decimal Number 1057
 
1.7%
Close Punctuation 633
 
1.0%
Open Punctuation 633
 
1.0%
Other Punctuation 223
 
0.4%
Dash Punctuation 12
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2110
 
3.7%
식 1260
 
2.2%
이 1147
 
2.0%
당 964
 
1.7%
스 859
 
1.5%
리 794
 
1.4%
산 745
 
1.3%
집 632
 
1.1%
마 630
 
1.1%
가 626
 
1.1%
Other values (963) 46915
82.8%
Lowercase Letter
ValueCountFrequency (%)
e 185
15.4%
o 127
 
10.6%
a 108
 
9.0%
r 80
 
6.7%
i 78
 
6.5%
f 71
 
5.9%
n 67
 
5.6%
c 66
 
5.5%
l 55
 
4.6%
t 45
 
3.8%
Other values (16) 318
26.5%
Uppercase Letter
ValueCountFrequency (%)
C 183
13.2%
S 154
 
11.1%
G 123
 
8.9%
O 93
 
6.7%
E 88
 
6.3%
B 78
 
5.6%
P 74
 
5.3%
A 66
 
4.8%
H 54
 
3.9%
T 51
 
3.7%
Other values (16) 424
30.5%
Other Punctuation
ValueCountFrequency (%)
& 108
48.4%
. 48
21.5%
, 27
 
12.1%
' 11
 
4.9%
/ 10
 
4.5%
· 7
 
3.1%
! 5
 
2.2%
: 3
 
1.3%
＆ 2
 
0.9%
% 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 263
24.9%
5 189
17.9%
1 153
14.5%
0 103
 
9.7%
9 80
 
7.6%
4 69
 
6.5%
3 68
 
6.4%
7 51
 
4.8%
8 48
 
4.5%
6 33
 
3.1%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1814
100.0%
Close Punctuation
ValueCountFrequency (%)
) 633
100.0%
Open Punctuation
ValueCountFrequency (%)
( 633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56658
89.0%
Common 4379
 
6.9%
Latin 2588
 
4.1%
Han 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2110
 
3.7%
식 1260
 
2.2%
이 1147
 
2.0%
당 964
 
1.7%
스 859
 
1.5%
리 794
 
1.4%
산 745
 
1.3%
집 632
 
1.1%
마 630
 
1.1%
가 626
 
1.1%
Other values (948) 46891
82.8%
Latin
ValueCountFrequency (%)
e 185
 
7.1%
C 183
 
7.1%
S 154
 
6.0%
o 127
 
4.9%
G 123
 
4.8%
a 108
 
4.2%
O 93
 
3.6%
E 88
 
3.4%
r 80
 
3.1%
B 78
 
3.0%
Other values (42) 1369
52.9%
Common
ValueCountFrequency (%)
1814
41.4%
) 633
 
14.5%
( 633
 
14.5%
2 263
 
6.0%
5 189
 
4.3%
1 153
 
3.5%
& 108
 
2.5%
0 103
 
2.4%
9 80
 
1.8%
4 69
 
1.6%
Other values (19) 334
 
7.6%
Han
ValueCountFrequency (%)
新 3
12.5%
家 3
12.5%
多 2
 
8.3%
辛 2
 
8.3%
亭 2
 
8.3%
美 2
 
8.3%
味 2
 
8.3%
乙 1
 
4.2%
甲 1
 
4.2%
愛 1
 
4.2%
Other values (5) 5
20.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56657
89.0%
ASCII 6957
 
10.9%
CJK 23
 
< 0.1%
None 10
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2110
 
3.7%
식 1260
 
2.2%
이 1147
 
2.0%
당 964
 
1.7%
스 859
 
1.5%
리 794
 
1.4%
산 745
 
1.3%
집 632
 
1.1%
마 630
 
1.1%
가 626
 
1.1%
Other values (947) 46890
82.8%
ASCII
ValueCountFrequency (%)
1814
26.1%
) 633
 
9.1%
( 633
 
9.1%
2 263
 
3.8%
5 189
 
2.7%
e 185
 
2.7%
C 183
 
2.6%
S 154
 
2.2%
1 153
 
2.2%
o 127
 
1.8%
Other values (68) 2623
37.7%
None
ValueCountFrequency (%)
· 7
70.0%
＆ 2
 
20.0%
° 1
 
10.0%
CJK
ValueCountFrequency (%)
新 3
13.0%
家 3
13.0%
多 2
8.7%
辛 2
8.7%
亭 2
8.7%
美 2
8.7%
味 2
8.7%
乙 1
 
4.3%
甲 1
 
4.3%
愛 1
 
4.3%
Other values (4) 4
17.4%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

지번주소
Text

Distinct9748
Distinct (%)98.0%
Missing53
Missing (%)0.5%
Memory size156.2 KiB
2023-12-13T06:11:00.001687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length57
Mean length27.372575
Min length10

Characters and Unicode

Total characters272275
Distinct characters590
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9571 ?
Unique (%)96.2%

Sample

1st row경상남도 창원시 의창구 팔용동 34-9번지 디오오토갤러리 1층 114.115.116호
2nd row경상남도 창원시 마산회원구 내서읍 상곡리 54-2번지
3rd row경상남도 함양군 안의면 상원리 536-6번지
4th row경상남도 통영시 광도면 죽림리 1578번지
5th row경상남도 거제시 장평동 1195-53번지 1층
ValueCountFrequency (%)
경상남도 9945
 
18.3%
창원시 3001
 
5.5%
1층 1698
 
3.1%
김해시 1504
 
2.8%
진주시 1165
 
2.1%
양산시 1019
 
1.9%
거제시 836
 
1.5%
의창구 758
 
1.4%
마산합포구 648
 
1.2%
성산구 585
 
1.1%
Other values (11491) 33095
61.0%
2023-12-13T06:11:00.724488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53384
19.6%
1 14007
 
5.1%
상 11524
 
4.2%
남 10849
 
4.0%
도 10232
 
3.8%
경 10072
 
3.7%
지 8950
 
3.3%
시 8928
 
3.3%
- 8713
 
3.2%
동 8205
 
3.0%
Other values (580) 127411
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157350
57.8%
Space Separator 53384
 
19.6%
Decimal Number 50678
 
18.6%
Dash Punctuation 8713
 
3.2%
Open Punctuation 602
 
0.2%
Close Punctuation 601
 
0.2%
Other Punctuation 488
 
0.2%
Uppercase Letter 344
 
0.1%
Lowercase Letter 79
 
< 0.1%
Math Symbol 28
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 11524
 
7.3%
남 10849
 
6.9%
도 10232
 
6.5%
경 10072
 
6.4%
지 8950
 
5.7%
시 8928
 
5.7%
동 8205
 
5.2%
번 7844
 
5.0%
창 4469
 
2.8%
원 3995
 
2.5%
Other values (513) 72282
45.9%
Uppercase Letter
ValueCountFrequency (%)
A 68
19.8%
B 67
19.5%
C 30
8.7%
S 24
 
7.0%
G 17
 
4.9%
K 15
 
4.4%
D 14
 
4.1%
E 13
 
3.8%
L 12
 
3.5%
N 11
 
3.2%
Other values (13) 73
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 11
13.9%
t 8
10.1%
y 8
10.1%
i 8
10.1%
a 6
 
7.6%
o 6
 
7.6%
r 4
 
5.1%
l 4
 
5.1%
c 4
 
5.1%
d 3
 
3.8%
Other values (9) 17
21.5%
Decimal Number
ValueCountFrequency (%)
1 14007
27.6%
2 6609
13.0%
3 4954
 
9.8%
0 4390
 
8.7%
4 4116
 
8.1%
5 3800
 
7.5%
6 3652
 
7.2%
7 3320
 
6.6%
9 2917
 
5.8%
8 2913
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 422
86.5%
. 50
 
10.2%
@ 7
 
1.4%
/ 5
 
1.0%
: 2
 
0.4%
' 1
 
0.2%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
53384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8713
100.0%
Open Punctuation
ValueCountFrequency (%)
( 602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 601
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157350
57.8%
Common 114500
42.1%
Latin 425
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 11524
 
7.3%
남 10849
 
6.9%
도 10232
 
6.5%
경 10072
 
6.4%
지 8950
 
5.7%
시 8928
 
5.7%
동 8205
 
5.2%
번 7844
 
5.0%
창 4469
 
2.8%
원 3995
 
2.5%
Other values (513) 72282
45.9%
Latin
ValueCountFrequency (%)
A 68
16.0%
B 67
15.8%
C 30
 
7.1%
S 24
 
5.6%
G 17
 
4.0%
K 15
 
3.5%
D 14
 
3.3%
E 13
 
3.1%
L 12
 
2.8%
N 11
 
2.6%
Other values (33) 154
36.2%
Common
ValueCountFrequency (%)
53384
46.6%
1 14007
 
12.2%
- 8713
 
7.6%
2 6609
 
5.8%
3 4954
 
4.3%
0 4390
 
3.8%
4 4116
 
3.6%
5 3800
 
3.3%
6 3652
 
3.2%
7 3320
 
2.9%
Other values (14) 7555
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157348
57.8%
ASCII 114920
42.2%
CJK Compat 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53384
46.5%
1 14007
 
12.2%
- 8713
 
7.6%
2 6609
 
5.8%
3 4954
 
4.3%
0 4390
 
3.8%
4 4116
 
3.6%
5 3800
 
3.3%
6 3652
 
3.2%
7 3320
 
2.9%
Other values (55) 7975
 
6.9%
Hangul
ValueCountFrequency (%)
상 11524
 
7.3%
남 10849
 
6.9%
도 10232
 
6.5%
경 10072
 
6.4%
지 8950
 
5.7%
시 8928
 
5.7%
동 8205
 
5.2%
번 7844
 
5.0%
창 4469
 
2.8%
원 3995
 
2.5%
Other values (511) 72280
45.9%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
50.0%
ㅜ 1
50.0%

도로명주소
Text

MISSING 

Distinct9742
Distinct (%)98.6%
Missing119
Missing (%)1.2%
Memory size156.2 KiB
2023-12-13T06:11:01.208740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length58
Mean length30.416456
Min length16

Characters and Unicode

Total characters300545
Distinct characters611
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9614 ?
Unique (%)97.3%

Sample

1st row경상남도 창원시 의창구 사화로 396, 114,115,116호 (팔용동, 디오오토갤러리)
2nd row경상남도 창원시 마산회원구 내서읍 중리상곡로 11
3rd row경상남도 함양군 안의면 용추계곡로 410
4th row경상남도 통영시 광도면 죽림1로 17-18, 1층 104호 (죽림주공아파트 상가동)
5th row경상남도 거제시 장평1로3길 18, 1층 (장평동)
ValueCountFrequency (%)
경상남도 9880
 
15.8%
1층 3143
 
5.0%
창원시 2969
 
4.7%
김해시 1510
 
2.4%
진주시 1145
 
1.8%
양산시 1004
 
1.6%
거제시 834
 
1.3%
의창구 756
 
1.2%
마산합포구 629
 
1.0%
성산구 586
 
0.9%
Other values (8828) 40205
64.2%
2023-12-13T06:11:01.934361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52812
 
17.6%
1 15494
 
5.2%
상 11587
 
3.9%
남 11209
 
3.7%
도 10305
 
3.4%
경 10077
 
3.4%
동 9143
 
3.0%
시 9034
 
3.0%
로 7568
 
2.5%
, 7539
 
2.5%
Other values (601) 155777
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174471
58.1%
Space Separator 52812
 
17.6%
Decimal Number 47663
 
15.9%
Other Punctuation 7662
 
2.5%
Close Punctuation 7514
 
2.5%
Open Punctuation 7513
 
2.5%
Dash Punctuation 2403
 
0.8%
Uppercase Letter 391
 
0.1%
Lowercase Letter 65
 
< 0.1%
Math Symbol 44
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 11587
 
6.6%
남 11209
 
6.4%
도 10305
 
5.9%
경 10077
 
5.8%
동 9143
 
5.2%
시 9034
 
5.2%
로 7568
 
4.3%
층 5313
 
3.0%
길 5241
 
3.0%
창 4577
 
2.6%
Other values (532) 90417
51.8%
Uppercase Letter
ValueCountFrequency (%)
B 88
22.5%
A 85
21.7%
C 35
 
9.0%
S 27
 
6.9%
G 18
 
4.6%
D 14
 
3.6%
K 14
 
3.6%
E 13
 
3.3%
N 11
 
2.8%
F 9
 
2.3%
Other values (14) 77
19.7%
Lowercase Letter
ValueCountFrequency (%)
e 9
13.8%
a 7
10.8%
y 7
10.8%
i 6
9.2%
t 6
9.2%
o 5
7.7%
c 5
7.7%
d 3
 
4.6%
l 3
 
4.6%
s 2
 
3.1%
Other values (7) 12
18.5%
Decimal Number
ValueCountFrequency (%)
1 15494
32.5%
2 6917
14.5%
3 4415
 
9.3%
0 4123
 
8.7%
4 3579
 
7.5%
5 3166
 
6.6%
6 2939
 
6.2%
7 2593
 
5.4%
8 2308
 
4.8%
9 2129
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 7539
98.4%
. 53
 
0.7%
· 50
 
0.7%
@ 8
 
0.1%
/ 5
 
0.1%
* 4
 
0.1%
: 2
 
< 0.1%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7510
99.9%
] 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 7509
99.9%
[ 4
 
0.1%
Space Separator
ValueCountFrequency (%)
52812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2403
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174471
58.1%
Common 125616
41.8%
Latin 458
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 11587
 
6.6%
남 11209
 
6.4%
도 10305
 
5.9%
경 10077
 
5.8%
동 9143
 
5.2%
시 9034
 
5.2%
로 7568
 
4.3%
층 5313
 
3.0%
길 5241
 
3.0%
창 4577
 
2.6%
Other values (532) 90417
51.8%
Latin
ValueCountFrequency (%)
B 88
19.2%
A 85
18.6%
C 35
 
7.6%
S 27
 
5.9%
G 18
 
3.9%
D 14
 
3.1%
K 14
 
3.1%
E 13
 
2.8%
N 11
 
2.4%
e 9
 
2.0%
Other values (32) 144
31.4%
Common
ValueCountFrequency (%)
52812
42.0%
1 15494
 
12.3%
, 7539
 
6.0%
) 7510
 
6.0%
( 7509
 
6.0%
2 6917
 
5.5%
3 4415
 
3.5%
0 4123
 
3.3%
4 3579
 
2.8%
5 3166
 
2.5%
Other values (17) 12552
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174470
58.1%
ASCII 126019
41.9%
None 50
 
< 0.1%
CJK Compat 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52812
41.9%
1 15494
 
12.3%
, 7539
 
6.0%
) 7510
 
6.0%
( 7509
 
6.0%
2 6917
 
5.5%
3 4415
 
3.5%
0 4123
 
3.3%
4 3579
 
2.8%
5 3166
 
2.5%
Other values (56) 12955
 
10.3%
Hangul
ValueCountFrequency (%)
상 11587
 
6.6%
남 11209
 
6.4%
도 10305
 
5.9%
경 10077
 
5.8%
동 9143
 
5.2%
시 9034
 
5.2%
로 7568
 
4.3%
층 5313
 
3.0%
길 5241
 
3.0%
창 4577
 
2.6%
Other values (531) 90416
51.8%
None
ValueCountFrequency (%)
· 50
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

인허가일자
Date

Distinct5069
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1965-11-08 00:00:00
Maximum2022-12-14 00:00:00
2023-12-13T06:11:02.111244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:02.265957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
10000 

Length

Max length5
Median length5
Mean length5
Min length5

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 10000
100.0%

Length

2023-12-13T06:11:02.394610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:02.470494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 10000
100.0%

상세영업상태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업
9999 
영업중
 
1

Length

Max length3
Median length2
Mean length2.0001
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 9999
> 99.9%
영업중 1
 
< 0.1%

Length

2023-12-13T06:11:02.558782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:02.650512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 9999
> 99.9%
영업중 1
 
< 0.1%

업태구분
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3421 
커피숍
832 
기타
780 
호프/통닭
692 
식육(숯불구이)
652 
Other values (34)
3623 

Length

Max length15
Median length2
Mean length3.5669
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 3421
34.2%
커피숍 832
 
8.3%
기타 780
 
7.8%
호프/통닭 692
 
6.9%
식육(숯불구이) 652
 
6.5%
분식 453
 
4.5%
일반조리판매 347
 
3.5%
기타 휴게음식점 340
 
3.4%
회집 305
 
3.0%
경양식 296
 
3.0%
Other values (29) 1882
18.8%

Length

2023-12-13T06:11:02.749383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3421
33.1%
기타 1120
 
10.8%
커피숍 832
 
8.0%
호프/통닭 692
 
6.7%
식육(숯불구이 652
 
6.3%
분식 453
 
4.4%
일반조리판매 347
 
3.4%
휴게음식점 340
 
3.3%
회집 305
 
2.9%
경양식 296
 
2.9%
Other values (29) 1882
18.2%

음식점 구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
7842 
휴게음식점
2157 
외국인전용유흥음식점업
 
1

Length

Max length11
Median length5
Mean length5.0006
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 7842
78.4%
휴게음식점 2157
 
21.6%
외국인전용유흥음식점업 1
 
< 0.1%

Length

2023-12-13T06:11:02.885343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:11:02.983425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 7842
78.4%
휴게음식점 2157
 
21.6%
외국인전용유흥음식점업 1
 
< 0.1%

Correlations

2023-12-13T06:11:03.061232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세영업상태업태구분음식점 구분
상세영업상태1.000NaN1.000
업태구분NaN1.0001.000
음식점 구분1.0001.0001.000
2023-12-13T06:11:03.182345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
음식점 구분상세영업상태업태구분
음식점 구분1.0001.0000.988
상세영업상태1.0001.0001.000
업태구분0.9881.0001.000
2023-12-13T06:11:03.273459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세영업상태업태구분음식점 구분
상세영업상태1.0001.0001.000
업태구분1.0001.0000.988
음식점 구분1.0000.9881.000

Missing values

2023-12-13T06:10:58.025175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:10:58.205191image/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.
2023-12-13T06:10:58.343557image/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

사업장명지번주소도로명주소인허가일자영업상태상세영업상태업태구분음식점 구분
37887붕붕한식당경상남도 창원시 의창구 팔용동 34-9번지 디오오토갤러리 1층 114.115.116호경상남도 창원시 의창구 사화로 396, 114,115,116호 (팔용동, 디오오토갤러리)2009-05-04영업/정상영업한식일반음식점
43100큰집막창경상남도 창원시 마산회원구 내서읍 상곡리 54-2번지경상남도 창원시 마산회원구 내서읍 중리상곡로 112002-04-12영업/정상영업한식일반음식점
30336송림회관경상남도 함양군 안의면 상원리 536-6번지경상남도 함양군 안의면 용추계곡로 4101997-03-26영업/정상영업한식일반음식점
6763정이품경상남도 통영시 광도면 죽림리 1578번지경상남도 통영시 광도면 죽림1로 17-18, 1층 104호 (죽림주공아파트 상가동)2003-12-22영업/정상영업한식일반음식점
21574정현이네부엌경상남도 거제시 장평동 1195-53번지 1층경상남도 거제시 장평1로3길 18, 1층 (장평동)2019-10-30영업/정상영업한식일반음식점
39293삼미정경상남도 창원시 마산합포구 남성동 111-3번지 지상1층경상남도 창원시 마산합포구 동서북9길 8-18 (남성동)2012-04-05영업/정상영업탕류(보신용)일반음식점
61958세븐일레븐창원오거리점경상남도 창원시 성산구 중앙동 70-8 오거리마트경상남도 창원시 성산구 원이대로580번길 14, 세븐일레븐 1층 일부호 (중앙동)2021-05-14영업/정상영업패스트푸드휴게음식점
22666가마솥영양탕경상남도 양산시 평산동 88-5번지경상남도 양산시 신명로 6, 1층 (평산동)2016-05-09영업/정상영업탕류(보신용)일반음식점
16141고봉민김밥경상남도 김해시 어방동 356-8번지경상남도 김해시 활천로 190 (어방동)2012-05-04영업/정상영업김밥(도시락)일반음식점
3599여울목경상남도 진주시 상대동 301-82번지 1층일부경상남도 진주시 동진로216번길 22 (상대동, 1층일부)2016-05-02영업/정상영업한식일반음식점
사업장명지번주소도로명주소인허가일자영업상태상세영업상태업태구분음식점 구분
4672다원경상남도 진주시 동성동 9-10번지경상남도 진주시 진양호로532번길 7-1 (동성동)1999-07-02영업/정상영업기타일반음식점
18644꼬기만땅점보비빔밥 거제고현점경상남도 거제시 고현동 227-69 1층경상남도 거제시 동문천로 64-5, 1층 (고현동)2018-07-09영업/정상영업한식일반음식점
17413화악산쉼터경상남도 밀양시 부북면 대항리 1510번지경상남도 밀양시 부북면 평밭길 432001-08-27영업/정상영업한식일반음식점
45254시골밥상경상남도 창원시 의창구 동읍 신방리 409번지경상남도 창원시 의창구 동읍 동읍로213번길 31995-04-22영업/정상영업한식일반음식점
59618놀뫼음식마을경상남도 창원시 성산구 가음동 21-20 가음시장대상가 지하1층 15호경상남도 창원시 성산구 원이대로883번길 15-24, 가음시장대상가 지하1층 15호 (가음동)2021-01-25영업/정상영업분식일반음식점
37991원조쌈밥(창원더시티세븐점)경상남도 창원시 의창구 대원동 121번지 더시티세븐 G160~162GH경상남도 창원시 의창구 원이대로 320 (대원동, 더시티세븐 G160~162GH)2011-09-23영업/정상영업한식일반음식점
44718그린홈(Green Home)경상남도 창원시 성산구 신촌동 103-1번지 오성슈퍼경상남도 창원시 성산구 월림로65번길 16-6, 1층 101호 (신촌동)2017-11-16영업/정상영업한식일반음식점
3469광화어탕경상남도 진주시 칠암동 510-19번지 (1층일부)경상남도 진주시 진주대로930번길 8-4 (칠암동,(1층일부))2008-03-04영업/정상영업한식일반음식점
12595아빠와고래 낚시카페경상남도 김해시 외동 1260-1번지 덕산아파트상가 B-101호경상남도 김해시 함박로 121, 덕산아파트상가 B-101 호 (외동)2018-02-23영업/정상영업기타일반음식점
40137스시우미경상남도 창원시 마산회원구 석전동 233-2번지 신우주상복합109호경상남도 창원시 마산회원구 양덕옛2길 107 (석전동,신우주상복합109호)2002-11-12영업/정상영업회집일반음식점