Overview

Dataset statistics

Number of variables15
Number of observations7071
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory842.6 KiB
Average record size in memory122.0 B

Variable types

Text4
DateTime1
Categorical10

Dataset

Description남양주시 일반음식점 정보에 대한 데이터로 업소일련번호, 인허가일자, 영업상태, 소재지주소(도로명), 소재지주소(지번), 업소명, 업태명, 다중이용시설여부 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/3033716/fileData.do

Alerts

영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
최종수정시점 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
업태구분명 is highly overall correlated with 위생업태명High correlation
위생업태명 is highly overall correlated with 업태구분명High correlation
다중이용시설 is highly imbalanced (87.4%)Imbalance
업소일련번호(관리번호) has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:34:23.552630
Analysis finished2023-12-12 16:34:25.623354
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct7071
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2023-12-13T01:34:25.780889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters155562
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

Unique7071 ?
Unique (%)100.0%

Sample

1st row3990000-101-1972-00001
2nd row3990000-101-1972-00002
3rd row3990000-101-1972-00012
4th row3990000-101-1972-00015
5th row3990000-101-1973-00001
ValueCountFrequency (%)
3990000-101-1972-00001 1
 
< 0.1%
3990000-101-2019-00430 1
 
< 0.1%
3990000-101-2019-00448 1
 
< 0.1%
3990000-101-2019-00447 1
 
< 0.1%
3990000-101-2019-00446 1
 
< 0.1%
3990000-101-2019-00444 1
 
< 0.1%
3990000-101-2019-00442 1
 
< 0.1%
3990000-101-2019-00439 1
 
< 0.1%
3990000-101-2019-00437 1
 
< 0.1%
3990000-101-2019-00435 1
 
< 0.1%
Other values (7061) 7061
99.9%
2023-12-13T01:34:26.178422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60745
39.0%
1 21553
 
13.9%
- 21213
 
13.6%
9 17559
 
11.3%
2 11971
 
7.7%
3 9996
 
6.4%
4 2888
 
1.9%
5 2753
 
1.8%
6 2435
 
1.6%
7 2241
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134349
86.4%
Dash Punctuation 21213
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60745
45.2%
1 21553
 
16.0%
9 17559
 
13.1%
2 11971
 
8.9%
3 9996
 
7.4%
4 2888
 
2.1%
5 2753
 
2.0%
6 2435
 
1.8%
7 2241
 
1.7%
8 2208
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 21213
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155562
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60745
39.0%
1 21553
 
13.9%
- 21213
 
13.6%
9 17559
 
11.3%
2 11971
 
7.7%
3 9996
 
6.4%
4 2888
 
1.9%
5 2753
 
1.8%
6 2435
 
1.6%
7 2241
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60745
39.0%
1 21553
 
13.9%
- 21213
 
13.6%
9 17559
 
11.3%
2 11971
 
7.7%
3 9996
 
6.4%
4 2888
 
1.9%
5 2753
 
1.8%
6 2435
 
1.6%
7 2241
 
1.4%
Distinct3843
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
Minimum1972-01-05 00:00:00
Maximum2022-11-15 00:00:00
2023-12-13T01:34:26.323107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:26.489400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
1
7071 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7071
100.0%

Length

2023-12-13T01:34:26.651383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:26.756921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7071
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
영업
7071 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 7071
100.0%

Length

2023-12-13T01:34:26.880109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:27.002380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 7071
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
1
7071 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7071
100.0%

Length

2023-12-13T01:34:27.124358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:27.265029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7071
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
영업
7071 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 7071
100.0%

Length

2023-12-13T01:34:27.387155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:27.503422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 7071
100.0%
Distinct6591
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2023-12-13T01:34:27.825704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length60
Mean length31.403196
Min length1

Characters and Unicode

Total characters222052
Distinct characters453
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

Unique6297 ?
Unique (%)89.1%

Sample

1st row경기도 남양주시 조안면 다산로 576
2nd row경기도 남양주시 조안면 다산로 446
3rd row
4th row
5th row
ValueCountFrequency (%)
경기도 6965
 
15.2%
남양주시 6965
 
15.2%
1층 2609
 
5.7%
화도읍 1171
 
2.6%
다산동 1065
 
2.3%
진접읍 938
 
2.1%
별내동 815
 
1.8%
일부 644
 
1.4%
와부읍 530
 
1.2%
오남읍 505
 
1.1%
Other values (4236) 23517
51.4%
2023-12-13T01:34:28.555214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43957
19.8%
1 12842
 
5.8%
8300
 
3.7%
8037
 
3.6%
7685
 
3.5%
7426
 
3.3%
7152
 
3.2%
7115
 
3.2%
6993
 
3.1%
6992
 
3.1%
Other values (443) 105553
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126849
57.1%
Space Separator 43957
 
19.8%
Decimal Number 40431
 
18.2%
Close Punctuation 3728
 
1.7%
Open Punctuation 3725
 
1.7%
Dash Punctuation 2494
 
1.1%
Uppercase Letter 720
 
0.3%
Math Symbol 68
 
< 0.1%
Other Punctuation 31
 
< 0.1%
Lowercase Letter 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8300
 
6.5%
8037
 
6.3%
7685
 
6.1%
7426
 
5.9%
7152
 
5.6%
7115
 
5.6%
6993
 
5.5%
6992
 
5.5%
3947
 
3.1%
3651
 
2.9%
Other values (387) 59551
46.9%
Uppercase Letter
ValueCountFrequency (%)
C 119
16.5%
B 110
15.3%
A 100
13.9%
D 48
6.7%
E 47
 
6.5%
M 45
 
6.2%
I 44
 
6.1%
P 37
 
5.1%
S 37
 
5.1%
R 36
 
5.0%
Other values (14) 97
13.5%
Lowercase Letter
ValueCountFrequency (%)
o 11
44.0%
e 3
 
12.0%
b 2
 
8.0%
a 2
 
8.0%
c 1
 
4.0%
h 1
 
4.0%
u 1
 
4.0%
s 1
 
4.0%
p 1
 
4.0%
r 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 12842
31.8%
2 5855
14.5%
0 3894
 
9.6%
3 3501
 
8.7%
4 2674
 
6.6%
5 2644
 
6.5%
6 2585
 
6.4%
8 2246
 
5.6%
9 2116
 
5.2%
7 2074
 
5.1%
Math Symbol
ValueCountFrequency (%)
~ 65
95.6%
+ 2
 
2.9%
1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 27
87.1%
@ 4
 
12.9%
Letter Number
ValueCountFrequency (%)
14
58.3%
10
41.7%
Space Separator
ValueCountFrequency (%)
43957
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3728
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3725
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2494
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126849
57.1%
Common 94434
42.5%
Latin 769
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8300
 
6.5%
8037
 
6.3%
7685
 
6.1%
7426
 
5.9%
7152
 
5.6%
7115
 
5.6%
6993
 
5.5%
6992
 
5.5%
3947
 
3.1%
3651
 
2.9%
Other values (387) 59551
46.9%
Latin
ValueCountFrequency (%)
C 119
15.5%
B 110
14.3%
A 100
13.0%
D 48
 
6.2%
E 47
 
6.1%
M 45
 
5.9%
I 44
 
5.7%
P 37
 
4.8%
S 37
 
4.8%
R 36
 
4.7%
Other values (27) 146
19.0%
Common
ValueCountFrequency (%)
43957
46.5%
1 12842
 
13.6%
2 5855
 
6.2%
0 3894
 
4.1%
) 3728
 
3.9%
( 3725
 
3.9%
3 3501
 
3.7%
4 2674
 
2.8%
5 2644
 
2.8%
6 2585
 
2.7%
Other values (9) 9029
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126849
57.1%
ASCII 95178
42.9%
Number Forms 24
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43957
46.2%
1 12842
 
13.5%
2 5855
 
6.2%
0 3894
 
4.1%
) 3728
 
3.9%
( 3725
 
3.9%
3 3501
 
3.7%
4 2674
 
2.8%
5 2644
 
2.8%
6 2585
 
2.7%
Other values (43) 9773
 
10.3%
Hangul
ValueCountFrequency (%)
8300
 
6.5%
8037
 
6.3%
7685
 
6.1%
7426
 
5.9%
7152
 
5.6%
7115
 
5.6%
6993
 
5.5%
6992
 
5.5%
3947
 
3.1%
3651
 
2.9%
Other values (387) 59551
46.9%
Number Forms
ValueCountFrequency (%)
14
58.3%
10
41.7%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct6441
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2023-12-13T01:34:28.845237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length58
Mean length27.26446
Min length1

Characters and Unicode

Total characters192787
Distinct characters437
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6002 ?
Unique (%)84.9%

Sample

1st row경기도 남양주시 조안면 능내리 132-4 외2필지
2nd row경기도 남양주시 조안면 능내리 산 66-8
3rd row경기도 남양주시 와부읍 팔당리 338
4th row경기도 남양주시 와부읍 덕소리 463
5th row경기도 남양주시 조안면 능내리 산 71-1 외 2필지
ValueCountFrequency (%)
경기도 7067
 
17.2%
남양주시 7067
 
17.2%
1층 1473
 
3.6%
화도읍 1194
 
2.9%
다산동 1077
 
2.6%
진접읍 946
 
2.3%
별내동 821
 
2.0%
일부 662
 
1.6%
와부읍 548
 
1.3%
오남읍 508
 
1.2%
Other values (5695) 19715
48.0%
2023-12-13T01:34:29.314755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40320
20.9%
1 10405
 
5.4%
8396
 
4.4%
8046
 
4.2%
7445
 
3.9%
7363
 
3.8%
7212
 
3.7%
7075
 
3.7%
7070
 
3.7%
- 6016
 
3.1%
Other values (427) 83439
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105665
54.8%
Space Separator 40320
 
20.9%
Decimal Number 39749
 
20.6%
Dash Punctuation 6016
 
3.1%
Uppercase Letter 565
 
0.3%
Close Punctuation 167
 
0.1%
Open Punctuation 166
 
0.1%
Math Symbol 55
 
< 0.1%
Other Punctuation 32
 
< 0.1%
Lowercase Letter 28
 
< 0.1%
Other values (2) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8396
 
7.9%
8046
 
7.6%
7445
 
7.0%
7363
 
7.0%
7212
 
6.8%
7075
 
6.7%
7070
 
6.7%
4277
 
4.0%
3802
 
3.6%
3666
 
3.5%
Other values (369) 41313
39.1%
Uppercase Letter
ValueCountFrequency (%)
A 87
15.4%
C 81
14.3%
B 74
13.1%
E 46
8.1%
S 35
 
6.2%
P 35
 
6.2%
F 32
 
5.7%
R 30
 
5.3%
D 23
 
4.1%
M 21
 
3.7%
Other values (13) 101
17.9%
Lowercase Letter
ValueCountFrequency (%)
o 10
35.7%
e 3
 
10.7%
l 3
 
10.7%
k 2
 
7.1%
b 2
 
7.1%
a 2
 
7.1%
y 1
 
3.6%
i 1
 
3.6%
c 1
 
3.6%
p 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 10405
26.2%
2 4559
11.5%
0 4459
11.2%
6 3602
 
9.1%
3 3552
 
8.9%
4 3447
 
8.7%
5 2976
 
7.5%
7 2515
 
6.3%
8 2267
 
5.7%
9 1967
 
4.9%
Math Symbol
ValueCountFrequency (%)
~ 52
94.5%
+ 2
 
3.6%
1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 22
68.8%
@ 8
 
25.0%
& 2
 
6.2%
Letter Number
ValueCountFrequency (%)
13
56.5%
10
43.5%
Space Separator
ValueCountFrequency (%)
40320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6016
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105665
54.8%
Common 86506
44.9%
Latin 616
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8396
 
7.9%
8046
 
7.6%
7445
 
7.0%
7363
 
7.0%
7212
 
6.8%
7075
 
6.7%
7070
 
6.7%
4277
 
4.0%
3802
 
3.6%
3666
 
3.5%
Other values (369) 41313
39.1%
Latin
ValueCountFrequency (%)
A 87
14.1%
C 81
13.1%
B 74
12.0%
E 46
 
7.5%
S 35
 
5.7%
P 35
 
5.7%
F 32
 
5.2%
R 30
 
4.9%
D 23
 
3.7%
M 21
 
3.4%
Other values (27) 152
24.7%
Common
ValueCountFrequency (%)
40320
46.6%
1 10405
 
12.0%
- 6016
 
7.0%
2 4559
 
5.3%
0 4459
 
5.2%
6 3602
 
4.2%
3 3552
 
4.1%
4 3447
 
4.0%
5 2976
 
3.4%
7 2515
 
2.9%
Other values (11) 4655
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105665
54.8%
ASCII 87098
45.2%
Number Forms 23
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40320
46.3%
1 10405
 
11.9%
- 6016
 
6.9%
2 4559
 
5.2%
0 4459
 
5.1%
6 3602
 
4.1%
3 3552
 
4.1%
4 3447
 
4.0%
5 2976
 
3.4%
7 2515
 
2.9%
Other values (45) 5247
 
6.0%
Hangul
ValueCountFrequency (%)
8396
 
7.9%
8046
 
7.6%
7445
 
7.0%
7363
 
7.0%
7212
 
6.8%
7075
 
6.7%
7070
 
6.7%
4277
 
4.0%
3802
 
3.6%
3666
 
3.5%
Other values (369) 41313
39.1%
Number Forms
ValueCountFrequency (%)
13
56.5%
10
43.5%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct6683
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2023-12-13T01:34:29.589598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length6.6836374
Min length1

Characters and Unicode

Total characters47260
Distinct characters995
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6389 ?
Unique (%)90.4%

Sample

1st row바라보다
2nd row사사육(446)
3rd row태풍옥
4th row덕소반점
5th row역전집
ValueCountFrequency (%)
별내점 116
 
1.2%
다산점 107
 
1.1%
진접점 55
 
0.6%
마석점 50
 
0.5%
호평점 39
 
0.4%
덕소점 36
 
0.4%
다산신도시점 35
 
0.4%
카페 35
 
0.4%
오남점 30
 
0.3%
평내호평점 25
 
0.3%
Other values (7080) 8843
94.4%
2023-12-13T01:34:30.047268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2313
 
4.9%
1521
 
3.2%
880
 
1.9%
697
 
1.5%
622
 
1.3%
617
 
1.3%
575
 
1.2%
556
 
1.2%
) 554
 
1.2%
( 552
 
1.2%
Other values (985) 38373
81.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41203
87.2%
Space Separator 2313
 
4.9%
Lowercase Letter 1029
 
2.2%
Uppercase Letter 864
 
1.8%
Decimal Number 587
 
1.2%
Close Punctuation 555
 
1.2%
Open Punctuation 553
 
1.2%
Other Punctuation 151
 
0.3%
Dash Punctuation 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1521
 
3.7%
880
 
2.1%
697
 
1.7%
622
 
1.5%
617
 
1.5%
575
 
1.4%
556
 
1.3%
490
 
1.2%
487
 
1.2%
483
 
1.2%
Other values (905) 34275
83.2%
Lowercase Letter
ValueCountFrequency (%)
e 153
14.9%
a 102
 
9.9%
o 82
 
8.0%
n 71
 
6.9%
i 61
 
5.9%
r 55
 
5.3%
f 48
 
4.7%
s 47
 
4.6%
t 47
 
4.6%
c 46
 
4.5%
Other values (16) 317
30.8%
Uppercase Letter
ValueCountFrequency (%)
B 81
 
9.4%
C 77
 
8.9%
E 69
 
8.0%
O 67
 
7.8%
A 64
 
7.4%
S 56
 
6.5%
H 40
 
4.6%
T 40
 
4.6%
I 35
 
4.1%
R 33
 
3.8%
Other values (16) 302
35.0%
Decimal Number
ValueCountFrequency (%)
1 118
20.1%
0 72
12.3%
2 69
11.8%
9 61
10.4%
3 56
9.5%
8 48
8.2%
5 48
8.2%
7 43
 
7.3%
6 37
 
6.3%
4 35
 
6.0%
Other Punctuation
ValueCountFrequency (%)
& 76
50.3%
. 35
23.2%
' 16
 
10.6%
· 6
 
4.0%
/ 6
 
4.0%
: 4
 
2.6%
! 4
 
2.6%
; 3
 
2.0%
1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 554
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 552
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41198
87.2%
Common 4164
 
8.8%
Latin 1893
 
4.0%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1521
 
3.7%
880
 
2.1%
697
 
1.7%
622
 
1.5%
617
 
1.5%
575
 
1.4%
556
 
1.3%
490
 
1.2%
487
 
1.2%
483
 
1.2%
Other values (901) 34270
83.2%
Latin
ValueCountFrequency (%)
e 153
 
8.1%
a 102
 
5.4%
o 82
 
4.3%
B 81
 
4.3%
C 77
 
4.1%
n 71
 
3.8%
E 69
 
3.6%
O 67
 
3.5%
A 64
 
3.4%
i 61
 
3.2%
Other values (42) 1066
56.3%
Common
ValueCountFrequency (%)
2313
55.5%
) 554
 
13.3%
( 552
 
13.3%
1 118
 
2.8%
& 76
 
1.8%
0 72
 
1.7%
2 69
 
1.7%
9 61
 
1.5%
3 56
 
1.3%
8 48
 
1.2%
Other values (18) 245
 
5.9%
Han
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41198
87.2%
ASCII 6049
 
12.8%
None 7
 
< 0.1%
CJK 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2313
38.2%
) 554
 
9.2%
( 552
 
9.1%
e 153
 
2.5%
1 118
 
2.0%
a 102
 
1.7%
o 82
 
1.4%
B 81
 
1.3%
C 77
 
1.3%
& 76
 
1.3%
Other values (67) 1941
32.1%
Hangul
ValueCountFrequency (%)
1521
 
3.7%
880
 
2.1%
697
 
1.7%
622
 
1.5%
617
 
1.5%
575
 
1.4%
556
 
1.3%
490
 
1.2%
487
 
1.2%
483
 
1.2%
Other values (901) 34270
83.2%
None
ValueCountFrequency (%)
· 6
85.7%
1
 
14.3%
CJK
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

최종수정시점
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2022-11-15 18:00
7071 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-15 18:00
2nd row2022-11-15 18:00
3rd row2022-11-15 18:00
4th row2022-11-15 18:00
5th row2022-11-15 18:00

Common Values

ValueCountFrequency (%)
2022-11-15 18:00 7071
100.0%

Length

2023-12-13T01:34:30.199736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:30.310165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-15 7071
50.0%
18:00 7071
50.0%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
U
7071 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 7071
100.0%

Length

2023-12-13T01:34:30.414827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:30.514993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 7071
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
2022-11-30 18:00
7071 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-30 18:00
2nd row2022-11-30 18:00
3rd row2022-11-30 18:00
4th row2022-11-30 18:00
5th row2022-11-30 18:00

Common Values

ValueCountFrequency (%)
2022-11-30 18:00 7071
100.0%

Length

2023-12-13T01:34:30.621586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:30.733240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-30 7071
50.0%
18:00 7071
50.0%

업태구분명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
한식
2944 
기타
1222 
호프/통닭
667 
식육(숯불구이)
513 
분식
395 
Other values (20)
1330 

Length

Max length15
Median length2
Mean length3.1473625
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 2944
41.6%
기타 1222
17.3%
호프/통닭 667
 
9.4%
식육(숯불구이) 513
 
7.3%
분식 395
 
5.6%
경양식 292
 
4.1%
중국식 234
 
3.3%
일식 197
 
2.8%
통닭(치킨) 151
 
2.1%
횟집 80
 
1.1%
Other values (15) 376
 
5.3%

Length

2023-12-13T01:34:30.904210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 2944
41.4%
기타 1222
17.2%
호프/통닭 667
 
9.4%
식육(숯불구이 513
 
7.2%
분식 395
 
5.6%
경양식 292
 
4.1%
중국식 234
 
3.3%
일식 197
 
2.8%
통닭(치킨 151
 
2.1%
횟집 80
 
1.1%
Other values (15) 418
 
5.9%

위생업태명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
한식
2944 
기타
1222 
호프/통닭
667 
식육(숯불구이)
513 
분식
395 
Other values (20)
1330 

Length

Max length15
Median length2
Mean length3.1473625
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 2944
41.6%
기타 1222
17.3%
호프/통닭 667
 
9.4%
식육(숯불구이) 513
 
7.3%
분식 395
 
5.6%
경양식 292
 
4.1%
중국식 234
 
3.3%
일식 197
 
2.8%
통닭(치킨) 151
 
2.1%
횟집 80
 
1.1%
Other values (15) 376
 
5.3%

Length

2023-12-13T01:34:31.043513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 2944
41.4%
기타 1222
17.2%
호프/통닭 667
 
9.4%
식육(숯불구이 513
 
7.2%
분식 395
 
5.6%
경양식 292
 
4.1%
중국식 234
 
3.3%
일식 197
 
2.8%
통닭(치킨 151
 
2.1%
횟집 80
 
1.1%
Other values (15) 418
 
5.9%

다중이용시설
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.4 KiB
N
6667 
Y
 
395
조건부기간만료
 
6
기간만료
 
1
 
1

Length

Max length7
Median length1
Mean length1.0056569
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
N 6667
94.3%
Y 395
 
5.6%
조건부기간만료 6
 
0.1%
기간만료 1
 
< 0.1%
1
 
< 0.1%
Y 1
 
< 0.1%

Length

2023-12-13T01:34:31.173522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:34:31.300027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 6667
94.3%
y 396
 
5.6%
조건부기간만료 6
 
0.1%
기간만료 1
 
< 0.1%

Correlations

2023-12-13T01:34:31.391251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명위생업태명다중이용시설
업태구분명1.0001.0000.158
위생업태명1.0001.0000.158
다중이용시설0.1580.1581.000
2023-12-13T01:34:31.489257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명위생업태명다중이용시설
업태구분명1.0001.0000.071
위생업태명1.0001.0000.071
다중이용시설0.0710.0711.000
2023-12-13T01:34:31.594337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명위생업태명다중이용시설
업태구분명1.0001.0000.071
위생업태명1.0001.0000.071
다중이용시설0.0710.0711.000

Missing values

2023-12-13T01:34:25.282726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:34:25.514708image/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.

Sample

업소일련번호(관리번호)인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명소재지(도로명)소재지(지번)업소명최종수정시점데이터갱신구분데이터갱신일자업태구분명위생업태명다중이용시설
03990000-101-1972-000011972-03-251영업1영업경기도 남양주시 조안면 다산로 576경기도 남양주시 조안면 능내리 132-4 외2필지바라보다2022-11-15 18:00U2022-11-30 18:00기타기타N
13990000-101-1972-000021972-03-201영업1영업경기도 남양주시 조안면 다산로 446경기도 남양주시 조안면 능내리 산 66-8사사육(446)2022-11-15 18:00U2022-11-30 18:00기타기타N
23990000-101-1972-000121972-01-051영업1영업경기도 남양주시 와부읍 팔당리 338태풍옥2022-11-15 18:00U2022-11-30 18:00한식한식N
33990000-101-1972-000151972-01-051영업1영업경기도 남양주시 와부읍 덕소리 463덕소반점2022-11-15 18:00U2022-11-30 18:00중국식중국식N
43990000-101-1973-000011973-06-221영업1영업경기도 남양주시 조안면 능내리 산 71-1 외 2필지역전집2022-11-15 18:00U2022-11-30 18:00한식한식N
53990000-101-1973-000041973-02-011영업1영업경기도 남양주시 도농동 58해남집2022-11-15 18:00U2022-11-30 18:00한식한식N
63990000-101-1974-000021974-09-021영업1영업경기도 남양주시 조안면 다산로 458경기도 남양주시 조안면 능내리 538-3 성신본가성신집2022-11-15 18:00U2022-11-30 18:00한식한식N
73990000-101-1974-000071974-01-171영업1영업경기도 남양주시 진건읍 진건우회로120번길 18 1층경기도 남양주시 진건읍 사능리 504-5정성식당2022-11-15 18:00U2022-11-30 18:00기타기타N
83990000-101-1974-000081974-05-221영업1영업경기도 남양주시 와부읍 팔당리 81나인블럭 키친2022-11-15 18:00U2022-11-30 18:00한식한식N
93990000-101-1974-000091974-04-101영업1영업경기도 남양주시 와부읍 다산로 56경기도 남양주시 와부읍 팔당리 82-5나인블럭팔당점2022-11-15 18:00U2022-11-30 18:00한식한식N
업소일련번호(관리번호)인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명소재지(도로명)소재지(지번)업소명최종수정시점데이터갱신구분데이터갱신일자업태구분명위생업태명다중이용시설
70613990000-101-2022-007182022-11-111영업1영업경기도 남양주시 금곡로 68 1층 일부 (금곡동)경기도 남양주시 금곡동 156-20 1층 일부쌍둥이네마라탕2022-11-15 18:00U2022-11-30 18:00중국식중국식N
70623990000-101-2022-007192022-11-141영업1영업경기도 남양주시 다산중앙로82번안길 131-70 르포렘하우스 1층 일부 (다산동)경기도 남양주시 다산동 6173-9 르포렘하우스 1층 일부곽만근갈비탕(다산점)2022-11-15 18:00U2022-11-30 18:00한식한식N
70633990000-101-2022-007202022-11-141영업1영업경기도 남양주시 별내면 청학로 11 1층 일부호경기도 남양주시 별내면 광전리 117-14주식회사 산아112022-11-15 18:00U2022-11-30 18:00패밀리레스트랑패밀리레스트랑N
70643990000-101-2022-007212022-11-141영업1영업경기도 남양주시 화도읍 경춘로 2255 제이타운B동 1층 일부호경기도 남양주시 화도읍 월산리 8-1월산 생선구이 전문2022-11-15 18:00U2022-11-30 18:00일식일식N
70653990000-101-2022-007222022-11-151영업1영업경기도 남양주시 와부읍 덕소로97번길 31-19 1층 101호 (양지빌라)경기도 남양주시 와부읍 덕소리 491-13 양지빌라 101호동원족발앤보쌈(덕소점)2022-11-15 18:00U2022-11-30 18:00한식한식N
70663990000-101-2022-007232022-11-151영업1영업경기도 남양주시 화도읍 북한강로1462번길 71 주1동 1층경기도 남양주시 화도읍 금남리 558-3 주1동 1층(주)아유 남양주지점2022-11-15 18:00U2022-11-30 18:00기타기타N
70673990000-101-2022-007242022-11-151영업1영업경기도 남양주시 진건읍 사릉로446번길 7 1층경기도 남양주시 진건읍 용정리 767-30 1층카페 보란2022-11-15 18:00U2022-11-30 18:00경양식경양식N
70683990000-101-2022-007252022-11-151영업1영업경기도 남양주시 다산순환로 50 현대프리미엄아울렛 SPACE1 A196호 (다산동)경기도 남양주시 다산동 6141 현대프리미엄아울렛 SPACE1 A196서울떡갈비&우이락 현대프리미엄아울렛 스페이스원점2022-11-15 18:00U2022-11-30 18:00한식한식N
70693990000-101-2022-007262022-11-151영업1영업경기도 남양주시 다산순환로 397-51 1층 일부(102호) (다산동)경기도 남양주시 다산동 6101-5 1층 일부(102호)우원2022-11-15 18:00U2022-11-30 18:00한식한식N
70703990000-101-2022-007272022-11-151영업1영업경기도 남양주시 오남읍 경복대로 63-36 1층 일부(110호)경기도 남양주시 오남읍 양지리 281-10 1층 일부(110호)자가제빵선명희피자 진접점2022-11-15 18:00U2022-11-30 18:00기타기타N