Overview

Dataset statistics

Number of variables9
Number of observations988
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.6 KiB
Average record size in memory73.1 B

Variable types

Numeric1
Categorical4
Text4

Dataset

Description강원도 모범음식점 정보(업소명, 도로명주소, 주요음식, 모범음식점 신청/지정/재지정일자 등) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15033691/fileData.do

Alerts

(최근) 재심사 일자 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시도 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시군구 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 시도 and 2 other fieldsHigh correlation
시도 is highly imbalanced (77.4%)Imbalance
업태 is highly imbalanced (63.5%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:37:17.280698
Analysis finished2023-12-12 02:37:18.453488
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct988
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.5
Minimum1
Maximum988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-12T11:37:18.534284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.35
Q1247.75
median494.5
Q3741.25
95-th percentile938.65
Maximum988
Range987
Interquartile range (IQR)493.5

Descriptive statistics

Standard deviation285.35533
Coefficient of variation (CV)0.57705831
Kurtosis-1.2
Mean494.5
Median Absolute Deviation (MAD)247
Skewness0
Sum488566
Variance81427.667
MonotonicityStrictly increasing
2023-12-12T11:37:18.695083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
651 1
 
0.1%
653 1
 
0.1%
654 1
 
0.1%
655 1
 
0.1%
656 1
 
0.1%
657 1
 
0.1%
658 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
Other values (978) 978
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
988 1
0.1%
987 1
0.1%
986 1
0.1%
985 1
0.1%
984 1
0.1%
983 1
0.1%
982 1
0.1%
981 1
0.1%
980 1
0.1%
979 1
0.1%

시도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
강원특별자치도
952 
강원
 
36

Length

Max length7
Median length7
Mean length6.8178138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 952
96.4%
강원 36
 
3.6%

Length

2023-12-12T11:37:18.855336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:37:18.944476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 952
96.4%
강원 36
 
3.6%

시군구
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
원주시
189 
춘천시
137 
속초시
86 
강릉시
81 
삼척시
65 
Other values (13)
430 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원주시 189
19.1%
춘천시 137
13.9%
속초시 86
8.7%
강릉시 81
 
8.2%
삼척시 65
 
6.6%
평창군 57
 
5.8%
홍천군 49
 
5.0%
정선군 43
 
4.4%
태백시 36
 
3.6%
고성군 35
 
3.5%
Other values (8) 210
21.3%

Length

2023-12-12T11:37:19.035177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시 189
19.1%
춘천시 137
13.9%
속초시 86
8.7%
강릉시 81
 
8.2%
삼척시 65
 
6.6%
평창군 57
 
5.8%
홍천군 49
 
5.0%
정선군 43
 
4.4%
태백시 36
 
3.6%
고성군 35
 
3.5%
Other values (8) 210
21.3%

업태
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
한식
765 
일식
 
71
식육(숯불구이)
 
27
중식
 
25
양식
 
23
Other values (12)
77 

Length

Max length8
Median length2
Mean length2.1912955
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
한식 765
77.4%
일식 71
 
7.2%
식육(숯불구이) 27
 
2.7%
중식 25
 
2.5%
양식 23
 
2.3%
식육 16
 
1.6%
분식 12
 
1.2%
기타 12
 
1.2%
횟집 12
 
1.2%
중국식 6
 
0.6%
Other values (7) 19
 
1.9%

Length

2023-12-12T11:37:19.147581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 765
77.4%
일식 71
 
7.2%
식육(숯불구이 27
 
2.7%
중식 25
 
2.5%
양식 23
 
2.3%
식육 16
 
1.6%
기타 12
 
1.2%
횟집 12
 
1.2%
분식 12
 
1.2%
중국식 6
 
0.6%
Other values (7) 19
 
1.9%
Distinct579
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-12T11:37:19.397788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length6.1123482
Min length1

Characters and Unicode

Total characters6039
Distinct characters277
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)46.0%

Sample

1st row순두부찌개, 닭갈비
2nd row장어요리
3rd row닭갈비,막국수
4th row설렁탕
5th row한우전문점
ValueCountFrequency (%)
막국수 54
 
4.1%
삼겹살 40
 
3.0%
닭갈비 36
 
2.7%
돼지갈비 36
 
2.7%
한정식 23
 
1.7%
냉면 21
 
1.6%
숯불구이 19
 
1.4%
매운탕 17
 
1.3%
생선회 16
 
1.2%
등심 16
 
1.2%
Other values (515) 1052
79.1%
2023-12-12T11:37:19.859657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 506
 
8.4%
345
 
5.7%
204
 
3.4%
182
 
3.0%
170
 
2.8%
161
 
2.7%
155
 
2.6%
145
 
2.4%
114
 
1.9%
114
 
1.9%
Other values (267) 3943
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5129
84.9%
Other Punctuation 509
 
8.4%
Space Separator 345
 
5.7%
Open Punctuation 27
 
0.4%
Close Punctuation 27
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
204
 
4.0%
182
 
3.5%
170
 
3.3%
161
 
3.1%
155
 
3.0%
145
 
2.8%
114
 
2.2%
114
 
2.2%
112
 
2.2%
108
 
2.1%
Other values (260) 3664
71.4%
Other Punctuation
ValueCountFrequency (%)
, 506
99.4%
. 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5129
84.9%
Common 908
 
15.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
204
 
4.0%
182
 
3.5%
170
 
3.3%
161
 
3.1%
155
 
3.0%
145
 
2.8%
114
 
2.2%
114
 
2.2%
112
 
2.2%
108
 
2.1%
Other values (260) 3664
71.4%
Common
ValueCountFrequency (%)
, 506
55.7%
345
38.0%
( 27
 
3.0%
) 27
 
3.0%
. 3
 
0.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5129
84.9%
ASCII 910
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 506
55.6%
345
37.9%
( 27
 
3.0%
) 27
 
3.0%
. 3
 
0.3%
A 1
 
0.1%
L 1
 
0.1%
Hangul
ValueCountFrequency (%)
204
 
4.0%
182
 
3.5%
170
 
3.3%
161
 
3.1%
155
 
3.0%
145
 
2.8%
114
 
2.2%
114
 
2.2%
112
 
2.2%
108
 
2.1%
Other values (260) 3664
71.4%
Distinct970
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-12T11:37:20.113653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length6.0455466
Min length1

Characters and Unicode

Total characters5973
Distinct characters500
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique955 ?
Unique (%)96.7%

Sample

1st row(주)원일유통 춘천(상)휴게소
2nd row(주)춘천장어마을
3rd row9우미닭갈비만천점
4th row감미옥설렁탕
5th row강원한우타운
ValueCountFrequency (%)
샤브향 5
 
0.5%
동해막국수 3
 
0.3%
막국수 3
 
0.3%
주식회사 2
 
0.2%
횡성축협한우프라자 2
 
0.2%
쭈꾸미 2
 
0.2%
박가네 2
 
0.2%
중국성 2
 
0.2%
평창한우마을 2
 
0.2%
바다횟집 2
 
0.2%
Other values (1018) 1030
97.6%
2023-12-12T11:37:20.549239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
1.8%
104
 
1.7%
104
 
1.7%
104
 
1.7%
102
 
1.7%
101
 
1.7%
101
 
1.7%
96
 
1.6%
91
 
1.5%
90
 
1.5%
Other values (490) 4972
83.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5744
96.2%
Space Separator 67
 
1.1%
Open Punctuation 50
 
0.8%
Close Punctuation 50
 
0.8%
Decimal Number 29
 
0.5%
Other Punctuation 17
 
0.3%
Lowercase Letter 7
 
0.1%
Dash Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
108
 
1.9%
104
 
1.8%
104
 
1.8%
104
 
1.8%
102
 
1.8%
101
 
1.8%
101
 
1.8%
96
 
1.7%
91
 
1.6%
90
 
1.6%
Other values (460) 4743
82.6%
Decimal Number
ValueCountFrequency (%)
1 9
31.0%
5 5
17.2%
3 5
17.2%
2 3
 
10.3%
8 2
 
6.9%
9 2
 
6.9%
4 2
 
6.9%
7 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1
14.3%
o 1
14.3%
g 1
14.3%
r 1
14.3%
d 1
14.3%
e 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
& 5
29.4%
, 4
23.5%
/ 4
23.5%
? 2
 
11.8%
· 1
 
5.9%
. 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
N 1
25.0%
K 1
25.0%
I 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5741
96.1%
Common 217
 
3.6%
Latin 11
 
0.2%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
108
 
1.9%
104
 
1.8%
104
 
1.8%
104
 
1.8%
102
 
1.8%
101
 
1.8%
101
 
1.8%
96
 
1.7%
91
 
1.6%
90
 
1.6%
Other values (458) 4740
82.6%
Common
ValueCountFrequency (%)
67
30.9%
( 50
23.0%
) 50
23.0%
1 9
 
4.1%
5 5
 
2.3%
& 5
 
2.3%
3 5
 
2.3%
, 4
 
1.8%
- 4
 
1.8%
/ 4
 
1.8%
Other values (8) 14
 
6.5%
Latin
ValueCountFrequency (%)
N 1
9.1%
a 1
9.1%
o 1
9.1%
g 1
9.1%
r 1
9.1%
d 1
9.1%
e 1
9.1%
n 1
9.1%
K 1
9.1%
I 1
9.1%
Han
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5740
96.1%
ASCII 227
 
3.8%
CJK 4
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
108
 
1.9%
104
 
1.8%
104
 
1.8%
104
 
1.8%
102
 
1.8%
101
 
1.8%
101
 
1.8%
96
 
1.7%
91
 
1.6%
90
 
1.6%
Other values (457) 4739
82.6%
ASCII
ValueCountFrequency (%)
67
29.5%
( 50
22.0%
) 50
22.0%
1 9
 
4.0%
5 5
 
2.2%
& 5
 
2.2%
3 5
 
2.2%
, 4
 
1.8%
- 4
 
1.8%
/ 4
 
1.8%
Other values (18) 24
 
10.6%
CJK
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
None
ValueCountFrequency (%)
· 1
50.0%
1
50.0%

주소
Text

Distinct987
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-12T11:37:20.935620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length23.379555
Min length6

Characters and Unicode

Total characters23099
Distinct characters339
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique986 ?
Unique (%)99.8%

Sample

1st row강원특별자치도 춘천시 동내면 영서로 1432
2nd row강원특별자치도 춘천시 구마니1길 36-11, 1층 (삼천동)
3rd row강원특별자치도 춘천시 동면 만천로143번길 46-4, 1층
4th row강원특별자치도 춘천시 춘천로 217, 1층 (효자동)
5th row강원특별자치도 춘천시 지석로 11, 별관동 3층 (퇴계동)
ValueCountFrequency (%)
강원특별자치도 566
 
11.9%
원주시 189
 
4.0%
강원도 150
 
3.1%
춘천시 137
 
2.9%
1층 122
 
2.6%
속초시 86
 
1.8%
강릉시 81
 
1.7%
평창군 57
 
1.2%
홍천군 49
 
1.0%
정선군 43
 
0.9%
Other values (1438) 3296
69.0%
2023-12-12T11:37:21.541772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3843
 
16.6%
987
 
4.3%
1 907
 
3.9%
840
 
3.6%
748
 
3.2%
629
 
2.7%
614
 
2.7%
585
 
2.5%
582
 
2.5%
571
 
2.5%
Other values (329) 12793
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14303
61.9%
Space Separator 3843
 
16.6%
Decimal Number 3493
 
15.1%
Open Punctuation 429
 
1.9%
Close Punctuation 428
 
1.9%
Other Punctuation 335
 
1.5%
Dash Punctuation 250
 
1.1%
Math Symbol 12
 
0.1%
Uppercase Letter 5
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
987
 
6.9%
840
 
5.9%
748
 
5.2%
629
 
4.4%
614
 
4.3%
585
 
4.1%
582
 
4.1%
571
 
4.0%
568
 
4.0%
566
 
4.0%
Other values (308) 7613
53.2%
Decimal Number
ValueCountFrequency (%)
1 907
26.0%
2 540
15.5%
3 369
10.6%
5 315
 
9.0%
6 282
 
8.1%
4 274
 
7.8%
0 223
 
6.4%
7 218
 
6.2%
8 197
 
5.6%
9 168
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 328
97.9%
· 4
 
1.2%
. 3
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%
Space Separator
ValueCountFrequency (%)
3843
100.0%
Open Punctuation
ValueCountFrequency (%)
( 429
100.0%
Close Punctuation
ValueCountFrequency (%)
) 428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 250
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14303
61.9%
Common 8791
38.1%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
987
 
6.9%
840
 
5.9%
748
 
5.2%
629
 
4.4%
614
 
4.3%
585
 
4.1%
582
 
4.1%
571
 
4.0%
568
 
4.0%
566
 
4.0%
Other values (308) 7613
53.2%
Common
ValueCountFrequency (%)
3843
43.7%
1 907
 
10.3%
2 540
 
6.1%
( 429
 
4.9%
) 428
 
4.9%
3 369
 
4.2%
, 328
 
3.7%
5 315
 
3.6%
6 282
 
3.2%
4 274
 
3.1%
Other values (9) 1076
 
12.2%
Latin
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14303
61.9%
ASCII 8792
38.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3843
43.7%
1 907
 
10.3%
2 540
 
6.1%
( 429
 
4.9%
) 428
 
4.9%
3 369
 
4.2%
, 328
 
3.7%
5 315
 
3.6%
6 282
 
3.2%
4 274
 
3.1%
Other values (10) 1077
 
12.2%
Hangul
ValueCountFrequency (%)
987
 
6.9%
840
 
5.9%
748
 
5.2%
629
 
4.4%
614
 
4.3%
585
 
4.1%
582
 
4.1%
571
 
4.0%
568
 
4.0%
566
 
4.0%
Other values (308) 7613
53.2%
None
ValueCountFrequency (%)
· 4
100.0%
Distinct289
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-12T11:37:21.875537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.068826
Min length8

Characters and Unicode

Total characters9948
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)10.5%

Sample

1st row2007-06-01
2nd row2021-10-18
3rd row2015-11-23
4th row2007-06-01
5th row2011-12-01
ValueCountFrequency (%)
2007-06-01 30
 
3.0%
2019-10-31 19
 
1.9%
2015-10-26 16
 
1.6%
2020.06.02 16
 
1.6%
2021.06.10 16
 
1.6%
2022.12.12 13
 
1.3%
2022.11.24 12
 
1.2%
2023.06.16 12
 
1.2%
2016-11-28 12
 
1.2%
2009.06.03 11
 
1.1%
Other values (277) 837
84.2%
2023-12-12T11:37:22.348512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2283
22.9%
1 2060
20.7%
2 1797
18.1%
. 1131
11.4%
- 1020
10.3%
6 333
 
3.3%
7 309
 
3.1%
3 263
 
2.6%
9 212
 
2.1%
8 205
 
2.1%
Other values (3) 335
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7791
78.3%
Other Punctuation 1131
 
11.4%
Dash Punctuation 1020
 
10.3%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2283
29.3%
1 2060
26.4%
2 1797
23.1%
6 333
 
4.3%
7 309
 
4.0%
3 263
 
3.4%
9 212
 
2.7%
8 205
 
2.6%
5 174
 
2.2%
4 155
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 1131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1020
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9948
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2283
22.9%
1 2060
20.7%
2 1797
18.1%
. 1131
11.4%
- 1020
10.3%
6 333
 
3.3%
7 309
 
3.1%
3 263
 
2.6%
9 212
 
2.1%
8 205
 
2.1%
Other values (3) 335
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2283
22.9%
1 2060
20.7%
2 1797
18.1%
. 1131
11.4%
- 1020
10.3%
6 333
 
3.3%
7 309
 
3.1%
3 263
 
2.6%
9 212
 
2.1%
8 205
 
2.1%
Other values (3) 335
 
3.4%

(최근) 재심사 일자
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2022.11.11
144 
2022-10-26
127 
<NA>
103 
2022-12-05
76 
2021-11-26
69 
Other values (43)
469 

Length

Max length11
Median length10
Mean length9.1204453
Min length1

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st row2022-10-26
2nd row2022-10-26
3rd row2022-10-26
4th row2022-10-26
5th row2022-10-26

Common Values

ValueCountFrequency (%)
2022.11.11 144
14.6%
2022-10-26 127
12.9%
<NA> 103
10.4%
2022-12-05 76
 
7.7%
2021-11-26 69
 
7.0%
2022-10-31 65
 
6.6%
2022.11.15 57
 
5.8%
2022-11-01 53
 
5.4%
2022.11.1. 40
 
4.0%
2022.11.9 36
 
3.6%
Other values (38) 218
22.1%

Length

2023-12-12T11:37:22.491349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022.11.11 144
14.6%
2022-10-26 127
12.9%
na 103
10.4%
2022-12-05 76
 
7.7%
2021-11-26 69
 
7.0%
2022-10-31 65
 
6.6%
2022.11.15 57
 
5.8%
2022-11-01 53
 
5.4%
2022.11.1 40
 
4.0%
2022.11.9 36
 
3.6%
Other values (38) 218
22.1%

Interactions

2023-12-12T11:37:18.146232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:37:22.583925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도시군구업태(최근) 재심사 일자
연번1.0000.7360.9630.4580.969
시도0.7361.0001.0000.1261.000
시군구0.9631.0001.0000.5920.996
업태0.4580.1260.5921.0000.549
(최근) 재심사 일자0.9691.0000.9960.5491.000
2023-12-12T11:37:22.693925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
(최근) 재심사 일자시도업태시군구
(최근) 재심사 일자1.0000.9740.1720.917
시도0.9741.0000.1120.992
업태0.1720.1121.0000.225
시군구0.9170.9920.2251.000
2023-12-12T11:37:22.799959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도시군구업태(최근) 재심사 일자
연번1.0000.5750.8220.1960.780
시도0.5751.0000.9920.1120.974
시군구0.8220.9921.0000.2250.917
업태0.1960.1120.2251.0000.172
(최근) 재심사 일자0.7800.9740.9170.1721.000

Missing values

2023-12-12T11:37:18.275382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:37:18.400191image/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

연번시도시군구업태주메뉴업소명주소최초 지정일자(최근) 재심사 일자
01강원특별자치도춘천시한식순두부찌개, 닭갈비(주)원일유통 춘천(상)휴게소강원특별자치도 춘천시 동내면 영서로 14322007-06-012022-10-26
12강원특별자치도춘천시한식장어요리(주)춘천장어마을강원특별자치도 춘천시 구마니1길 36-11, 1층 (삼천동)2021-10-182022-10-26
23강원특별자치도춘천시한식닭갈비,막국수9우미닭갈비만천점강원특별자치도 춘천시 동면 만천로143번길 46-4, 1층2015-11-232022-10-26
34강원특별자치도춘천시한식설렁탕감미옥설렁탕강원특별자치도 춘천시 춘천로 217, 1층 (효자동)2007-06-012022-10-26
45강원특별자치도춘천시한식한우전문점강원한우타운강원특별자치도 춘천시 지석로 11, 별관동 3층 (퇴계동)2011-12-012022-10-26
56강원특별자치도춘천시한식막국수,편육강촌막국수강원특별자치도 춘천시 남산면 강촌로 62-12017-12-062022-10-26
67강원특별자치도춘천시한식생선구이고미고미강원특별자치도 춘천시 근화길15번길 17, 1층 (근화동)2022-10-26<NA>
78강원특별자치도춘천시한식삼겹살, 목살고반식당춘천거두점강원특별자치도 춘천시 동내면 춘천순환로 1142022-10-26<NA>
89강원특별자치도춘천시한식한정식고산가강원특별자치도 춘천시 동내면 너부래길 72007-06-012022-10-26
910강원특별자치도춘천시한식한정식곰배령강원특별자치도 춘천시 춘천로 19, 1층 (온의동)2011-12-012022-10-26
연번시도시군구업태주메뉴업소명주소최초 지정일자(최근) 재심사 일자
978979강원특별자치도양양군한식육개장, 칼국수육반장강원도 양양군 양양읍 남문로 202018-11-012022-11-01
979980강원특별자치도양양군한식돼지갈비이태원왕갈비강원도 양양군 강현면 일출로 15-1, 1층2022-11-012022-11-01
980981강원특별자치도양양군한식메밀국수, 수육입암메밀타운강원도 양양군 현남면 화상천로 1552001-06-302022-11-01
981982강원특별자치도양양군한식산채정식, 산채비빔밥주전골산채마을강원도 양양군 양양읍 양양로 332008-07-012022-11-01
982983강원특별자치도양양군한식등심구이코뚜레 돈우 어때강원도 양양군 손양면 동명로 152018-11-012022-11-01
983984강원특별자치도양양군한식한우(모듬)한우랑송이랑강원도 양양군 양양읍 거마천로 59-52016-12-012022-11-01
984985강원특별자치도양양군한식냉면, 메밀국수함경면옥강원도 양양군 양양읍 남문2길 72001-06-302022-11-01
985986강원특별자치도양양군한식생선회, 매운탕해녀횟집강원도 양양군 현남면 매바위길 1632009-07-012022-11-01
986987강원특별자치도양양군한식양념되지갈비구이홍영애숯불갈비강원도 양양군 강현면 동해대로 35632018-11-012022-11-01
987988강원특별자치도양양군한식생선회, 물회흥미회집강원도 양양군 손양면 수산 1길 472018-11-012022-11-01