Overview

Dataset statistics

Number of variables11
Number of observations648
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.4 KiB
Average record size in memory89.2 B

Variable types

Numeric1
Categorical6
Text4

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
업태 is highly imbalanced (63.8%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:18:40.949189
Analysis finished2024-03-14 03:18:42.041392
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.5
Minimum1
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-14T12:18:42.098092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.35
Q1162.75
median324.5
Q3486.25
95-th percentile615.65
Maximum648
Range647
Interquartile range (IQR)323.5

Descriptive statistics

Standard deviation187.20577
Coefficient of variation (CV)0.5769053
Kurtosis-1.2
Mean324.5
Median Absolute Deviation (MAD)162
Skewness0
Sum210276
Variance35046
MonotonicityStrictly increasing
2024-03-14T12:18:42.208277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
447 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
Other values (638) 638
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%
644 1
0.2%
643 1
0.2%
642 1
0.2%
641 1
0.2%
640 1
0.2%
639 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
전주시
172 
정읍
68 
군산시
62 
익산시
62 
남원시
42 
Other values (9)
242 

Length

Max length3
Median length3
Mean length2.8950617
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 172
26.5%
정읍 68
 
10.5%
군산시 62
 
9.6%
익산시 62
 
9.6%
남원시 42
 
6.5%
김제시 39
 
6.0%
부안군 39
 
6.0%
완주군 38
 
5.9%
고창군 37
 
5.7%
무주군 25
 
3.9%
Other values (4) 64
 
9.9%

Length

2024-03-14T12:18:42.355261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 172
26.5%
정읍 68
 
10.5%
군산시 62
 
9.6%
익산시 62
 
9.6%
남원시 42
 
6.5%
김제시 39
 
6.0%
부안군 39
 
6.0%
완주군 38
 
5.9%
고창군 37
 
5.7%
무주군 25
 
3.9%
Other values (4) 64
 
9.9%

업소명
Text

Distinct639
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-03-14T12:18:42.585859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length5.5385802
Min length1

Characters and Unicode

Total characters3589
Distinct characters417
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique630 ?
Unique (%)97.2%

Sample

1st row풀꽃세상채식뷔페
2nd row레드토마토
3rd row프리모파스타
4th row라라코스트(전북도청점)
5th row라라코스트(삼천점)
ValueCountFrequency (%)
본가 2
 
0.3%
백리향 2
 
0.3%
동막골시래기마을 2
 
0.3%
향연 2
 
0.3%
한국관 2
 
0.3%
마실 2
 
0.3%
자금성 2
 
0.3%
해송 2
 
0.3%
청주본가 2
 
0.3%
오유민동태마을 2
 
0.3%
Other values (650) 650
97.0%
2024-03-14T12:18:42.966246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 94
 
2.6%
점 86
 
2.4%
산 66
 
1.8%
한 65
 
1.8%
장 58
 
1.6%
전 53
 
1.5%
정 53
 
1.5%
관 52
 
1.4%
우 52
 
1.4%
식 48
 
1.3%
Other values (407) 2962
82.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3477
96.9%
Close Punctuation 38
 
1.1%
Open Punctuation 36
 
1.0%
Space Separator 22
 
0.6%
Other Punctuation 9
 
0.3%
Decimal Number 5
 
0.1%
Uppercase Letter 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 94
 
2.7%
점 86
 
2.5%
산 66
 
1.9%
한 65
 
1.9%
장 58
 
1.7%
전 53
 
1.5%
정 53
 
1.5%
관 52
 
1.5%
우 52
 
1.5%
식 48
 
1.4%
Other values (395) 2850
82.0%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
/ 2
 
22.2%
. 1
 
11.1%
& 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
4 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3478
96.9%
Common 110
 
3.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 94
 
2.7%
점 86
 
2.5%
산 66
 
1.9%
한 65
 
1.9%
장 58
 
1.7%
전 53
 
1.5%
정 53
 
1.5%
관 52
 
1.5%
우 52
 
1.5%
식 48
 
1.4%
Other values (396) 2851
82.0%
Common
ValueCountFrequency (%)
) 38
34.5%
( 36
32.7%
22
20.0%
, 5
 
4.5%
2 2
 
1.8%
/ 2
 
1.8%
1 2
 
1.8%
. 1
 
0.9%
4 1
 
0.9%
& 1
 
0.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3477
96.9%
ASCII 111
 
3.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 94
 
2.7%
점 86
 
2.5%
산 66
 
1.9%
한 65
 
1.9%
장 58
 
1.7%
전 53
 
1.5%
정 53
 
1.5%
관 52
 
1.5%
우 52
 
1.5%
식 48
 
1.4%
Other values (395) 2850
82.0%
ASCII
ValueCountFrequency (%)
) 38
34.2%
( 36
32.4%
22
19.8%
, 5
 
4.5%
2 2
 
1.8%
/ 2
 
1.8%
1 2
 
1.8%
A 1
 
0.9%
. 1
 
0.9%
4 1
 
0.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업태
Categorical

IMBALANCE 

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
한식
509 
일식
 
32
중식
 
20
식육(숯불구이)
 
17
회집
 
12
Other values (12)
58 

Length

Max length8
Median length2
Mean length2.2268519
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row붸페식
2nd row경양식
3rd row경양식
4th row경양식
5th row경양식

Common Values

ValueCountFrequency (%)
한식 509
78.5%
일식 32
 
4.9%
중식 20
 
3.1%
식육(숯불구이) 17
 
2.6%
회집 12
 
1.9%
기타 12
 
1.9%
양식 11
 
1.7%
경양식 10
 
1.5%
중국식 6
 
0.9%
분식 5
 
0.8%
Other values (7) 14
 
2.2%

Length

2024-03-14T12:18:43.132053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 510
78.7%
일식 32
 
4.9%
중식 20
 
3.1%
식육(숯불구이 17
 
2.6%
회집 12
 
1.9%
기타 12
 
1.9%
양식 11
 
1.7%
경양식 10
 
1.5%
중국식 6
 
0.9%
분식 5
 
0.8%
Other values (6) 13
 
2.0%

도로명주소
Text

Distinct643
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-03-14T12:18:43.456862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length21.604938
Min length10

Characters and Unicode

Total characters14000
Distinct characters277
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique638 ?
Unique (%)98.5%

Sample

1st row전라북도 전주시 완산구 우림로 1036-13 (중인동)
2nd row전라북도 전주시 완산구 서노송동 686 - 6
3rd row전라북도 전주시 완산구 홍산3길 7 (효자동3가,1~2층)
4th row전라북도 전주시 완산구 홍산남로 73 (효자동3가)
5th row전라북도 전주시 완산구 용리로 56, 102호 (삼천동1가)
ValueCountFrequency (%)
전라북도 328
 
10.5%
전주시 172
 
5.5%
덕진구 88
 
2.8%
완산구 84
 
2.7%
정읍시 68
 
2.2%
익산시 62
 
2.0%
군산시 62
 
2.0%
남원시 42
 
1.3%
김제시 39
 
1.2%
부안군 39
 
1.2%
Other values (1061) 2143
68.5%
2024-03-14T12:18:44.017594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2576
 
18.4%
1 598
 
4.3%
전 541
 
3.9%
시 459
 
3.3%
동 426
 
3.0%
로 412
 
2.9%
2 383
 
2.7%
북 367
 
2.6%
산 362
 
2.6%
도 354
 
2.5%
Other values (267) 7522
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8170
58.4%
Space Separator 2576
 
18.4%
Decimal Number 2311
 
16.5%
Close Punctuation 349
 
2.5%
Open Punctuation 349
 
2.5%
Dash Punctuation 183
 
1.3%
Other Punctuation 60
 
0.4%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 541
 
6.6%
시 459
 
5.6%
동 426
 
5.2%
로 412
 
5.0%
북 367
 
4.5%
산 362
 
4.4%
도 354
 
4.3%
라 332
 
4.1%
주 265
 
3.2%
군 265
 
3.2%
Other values (250) 4387
53.7%
Decimal Number
ValueCountFrequency (%)
1 598
25.9%
2 383
16.6%
3 243
10.5%
5 192
 
8.3%
4 169
 
7.3%
0 162
 
7.0%
6 162
 
7.0%
7 141
 
6.1%
8 136
 
5.9%
9 125
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 59
98.3%
. 1
 
1.7%
Space Separator
ValueCountFrequency (%)
2576
100.0%
Close Punctuation
ValueCountFrequency (%)
) 349
100.0%
Open Punctuation
ValueCountFrequency (%)
( 349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8170
58.4%
Common 5830
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 541
 
6.6%
시 459
 
5.6%
동 426
 
5.2%
로 412
 
5.0%
북 367
 
4.5%
산 362
 
4.4%
도 354
 
4.3%
라 332
 
4.1%
주 265
 
3.2%
군 265
 
3.2%
Other values (250) 4387
53.7%
Common
ValueCountFrequency (%)
2576
44.2%
1 598
 
10.3%
2 383
 
6.6%
) 349
 
6.0%
( 349
 
6.0%
3 243
 
4.2%
5 192
 
3.3%
- 183
 
3.1%
4 169
 
2.9%
0 162
 
2.8%
Other values (7) 626
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8170
58.4%
ASCII 5830
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2576
44.2%
1 598
 
10.3%
2 383
 
6.6%
) 349
 
6.0%
( 349
 
6.0%
3 243
 
4.2%
5 192
 
3.3%
- 183
 
3.1%
4 169
 
2.9%
0 162
 
2.8%
Other values (7) 626
 
10.7%
Hangul
ValueCountFrequency (%)
전 541
 
6.6%
시 459
 
5.6%
동 426
 
5.2%
로 412
 
5.0%
북 367
 
4.5%
산 362
 
4.4%
도 354
 
4.3%
라 332
 
4.1%
주 265
 
3.2%
군 265
 
3.2%
Other values (250) 4387
53.7%

주메뉴
Text

Distinct454
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-03-14T12:18:44.265637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.1466049
Min length1

Characters and Unicode

Total characters3983
Distinct characters268
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)59.9%

Sample

1st row채식뷔페
2nd row돈가스, 낙지정식
3rd row파스타,피자
4th row피자,파스타
5th row피자,파스타
ValueCountFrequency (%)
한정식 21
 
2.6%
갈비탕 20
 
2.4%
추어탕 19
 
2.3%
돼지갈비 17
 
2.1%
생선회 17
 
2.1%
풍천장어 14
 
1.7%
콩나물국밥 14
 
1.7%
삼겹살 14
 
1.7%
냉면 12
 
1.5%
등 11
 
1.3%
Other values (437) 664
80.7%
2024-03-14T12:18:44.623523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 255
 
6.4%
175
 
4.4%
탕 172
 
4.3%
비 132
 
3.3%
갈 105
 
2.6%
밥 76
 
1.9%
식 76
 
1.9%
지 76
 
1.9%
리 76
 
1.9%
장 74
 
1.9%
Other values (258) 2766
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3518
88.3%
Other Punctuation 285
 
7.2%
Space Separator 175
 
4.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 172
 
4.9%
비 132
 
3.8%
갈 105
 
3.0%
밥 76
 
2.2%
식 76
 
2.2%
지 76
 
2.2%
리 76
 
2.2%
장 74
 
2.1%
어 68
 
1.9%
정 67
 
1.9%
Other values (251) 2596
73.8%
Other Punctuation
ValueCountFrequency (%)
, 255
89.5%
/ 26
 
9.1%
· 4
 
1.4%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3518
88.3%
Common 465
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 172
 
4.9%
비 132
 
3.8%
갈 105
 
3.0%
밥 76
 
2.2%
식 76
 
2.2%
지 76
 
2.2%
리 76
 
2.2%
장 74
 
2.1%
어 68
 
1.9%
정 67
 
1.9%
Other values (251) 2596
73.8%
Common
ValueCountFrequency (%)
, 255
54.8%
175
37.6%
/ 26
 
5.6%
· 4
 
0.9%
( 2
 
0.4%
) 2
 
0.4%
` 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3518
88.3%
ASCII 461
 
11.6%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 255
55.3%
175
38.0%
/ 26
 
5.6%
( 2
 
0.4%
) 2
 
0.4%
` 1
 
0.2%
Hangul
ValueCountFrequency (%)
탕 172
 
4.9%
비 132
 
3.8%
갈 105
 
3.0%
밥 76
 
2.2%
식 76
 
2.2%
지 76
 
2.2%
리 76
 
2.2%
장 74
 
2.1%
어 68
 
1.9%
정 67
 
1.9%
Other values (251) 2596
73.8%
None
ValueCountFrequency (%)
· 4
100.0%

전화번호
Text

Distinct604
Distinct (%)93.8%
Missing4
Missing (%)0.6%
Memory size5.2 KiB
2024-03-14T12:18:44.859480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.576087
Min length2

Characters and Unicode

Total characters7455
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique600 ?
Unique (%)93.2%

Sample

1st row 063- 221-4432
2nd row063 -288 -8832
3rd row063 -225 -6688
4th row063 -228 -3230
5th row063 -243 -3230
ValueCountFrequency (%)
063 232
 
22.0%
86
 
8.1%
548 12
 
1.1%
236 8
 
0.8%
542 6
 
0.6%
547 6
 
0.6%
246 6
 
0.6%
272 5
 
0.5%
244 5
 
0.5%
546 5
 
0.5%
Other values (634) 685
64.9%
2024-03-14T12:18:45.216556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1086
14.6%
3 996
13.4%
941
12.6%
6 813
10.9%
0 743
10.0%
2 659
8.8%
5 560
7.5%
8 415
 
5.6%
4 412
 
5.5%
1 320
 
4.3%
Other values (2) 510
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5428
72.8%
Dash Punctuation 1086
 
14.6%
Space Separator 941
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 996
18.3%
6 813
15.0%
0 743
13.7%
2 659
12.1%
5 560
10.3%
8 415
7.6%
4 412
7.6%
1 320
 
5.9%
7 262
 
4.8%
9 248
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1086
100.0%
Space Separator
ValueCountFrequency (%)
941
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7455
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1086
14.6%
3 996
13.4%
941
12.6%
6 813
10.9%
0 743
10.0%
2 659
8.8%
5 560
7.5%
8 415
 
5.6%
4 412
 
5.5%
1 320
 
4.3%
Other values (2) 510
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1086
14.6%
3 996
13.4%
941
12.6%
6 813
10.9%
0 743
10.0%
2 659
8.8%
5 560
7.5%
8 415
 
5.6%
4 412
 
5.5%
1 320
 
4.3%
Other values (2) 510
6.8%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
건강안전과
648 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강안전과 648
100.0%

Length

2024-03-14T12:18:45.325803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:18:45.393946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강안전과 648
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
공개
648 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 648
100.0%

Length

2024-03-14T12:18:45.470739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:18:45.562965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 648
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2017.4.
648 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017.4.
2nd row2017.4.
3rd row2017.4.
4th row2017.4.
5th row2017.4.

Common Values

ValueCountFrequency (%)
2017.4. 648
100.0%

Length

2024-03-14T12:18:45.636004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:18:45.705608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.4 648
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
1년
648 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 648
100.0%

Length

2024-03-14T12:18:45.780572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:18:45.924385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 648
100.0%

Interactions

2024-03-14T12:18:41.757981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:18:46.051903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명업태
순번1.0000.9300.463
시군명0.9301.0000.541
업태0.4630.5411.000
2024-03-14T12:18:46.137109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업태
시군명1.0000.215
업태0.2151.000
2024-03-14T12:18:46.214539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명업태
순번1.0000.7340.198
시군명0.7341.0000.215
업태0.1980.2151.000

Missing values

2024-03-14T12:18:41.860770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:18:41.995191image/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

순번시군명업소명업태도로명주소주메뉴전화번호자료출처공개여부작성일갱신주기
01전주시풀꽃세상채식뷔페붸페식전라북도 전주시 완산구 우림로 1036-13 (중인동)채식뷔페063- 221-4432건강안전과공개2017.4.1년
12전주시레드토마토경양식전라북도 전주시 완산구 서노송동 686 - 6돈가스, 낙지정식063 -288 -8832건강안전과공개2017.4.1년
23전주시프리모파스타경양식전라북도 전주시 완산구 홍산3길 7 (효자동3가,1~2층)파스타,피자063 -225 -6688건강안전과공개2017.4.1년
34전주시라라코스트(전북도청점)경양식전라북도 전주시 완산구 홍산남로 73 (효자동3가)피자,파스타063 -228 -3230건강안전과공개2017.4.1년
45전주시라라코스트(삼천점)경양식전라북도 전주시 완산구 용리로 56, 102호 (삼천동1가)피자,파스타063 -243 -3230건강안전과공개2017.4.1년
56전주시쿠우쿠우(효자점)뷔페식전라북도 전주시 완산구 홍산남로 73뷔페063 - 222-6274건강안전과공개2017.4.1년
67전주시송림일식일식전라북도 전주시 완산구 전라감영3길 12-9 (중앙동2가)생선회063- 287-0854건강안전과공개2017.4.1년
78전주시명문횟집일식전라북도 전주시 완산구 신촌4길 9-6 (중화산동2가)생선회063- 229-8500건강안전과공개2017.4.1년
89전주시어랑일식일식전라북도 전주시 완산구 홍산중앙로 20 (효자동3가)생선회, 초밥063 -236 -6223건강안전과공개2017.4.1년
910전주시이조참치일식전라북도 전주시 완산구 홍산남로 71회063 -228 -5580건강안전과공개2017.4.1년
순번시군명업소명업태도로명주소주메뉴전화번호자료출처공개여부작성일갱신주기
638639부안군부안할매바지락죽한식부안군 하서면 변산로 1453바지락죽063-583-5058건강안전과공개2017.4.1년
639640부안군계화도한식부안군 변산면 변산해변로 46바지락죽063-581-3131건강안전과공개2017.4.1년
640641부안군청면옥한식부안군 부안읍 송정길 20냉면,오리주물럭063-584-2040건강안전과공개2017.4.1년
641642부안군현대옥부안점한식부안군 부안읍 오리정로 170콩나물국밥063-581-8484건강안전과공개2017.4.1년
642643부안군태장금한식부안군 변산면 변산로 2417백합죽, 꽃게장063-581-8447건강안전과공개2017.4.1년
643644부안군부홍장어구이한식부안군 부안읍 부령로 96장어구이063-581-3519건강안전과공개2017.4.1년
644645부안군부안장수촌한식부안군 부안읍 서신1길 22오리누룽지백숙063-581-5259건강안전과공개2017.4.1년
645646부안군황금밥상한식부안군 진서면 곰소항길 22-26젓갈게장백반063-581-3454건강안전과공개2017.4.1년
646647부안군목살집부안점한식부안군 부안읍 오리정로 156생목살, 양념갈비063-582-5511건강안전과공개2017.4.1년
647648부안군돈되는집한식부안군 부안읍 봉동길 11삼겹살063-581-2255건강안전과공개2017.4.1년