Overview

Dataset statistics

Number of variables9
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory76.6 B

Variable types

Categorical3
Text5
Numeric1

Dataset

Description파주시 모범음식점에 대한 데이터로 업종명, 업소명, 업태명, 주요메뉴, 소재지, 영업장 면적, 전화번호 등에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3044650/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업태명 is highly imbalanced (54.9%)Imbalance
업소명 has unique valuesUnique
주요메뉴 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique
영업장면적(제곱미터) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:01:15.858000
Analysis finished2023-12-12 08:01:16.499791
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
일반음식점
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 37
100.0%

Length

2023-12-12T17:01:16.559464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:01:16.658139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 37
100.0%

업소명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:01:16.842971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length11
Mean length6.6486486
Min length2

Characters and Unicode

Total characters246
Distinct characters140
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row덕성원
2nd row(주)반구정나루터집
3rd row진미식당
4th row복청
5th row옛날시골밥상
ValueCountFrequency (%)
덕성원 1
 
2.4%
본가(파주운정점 1
 
2.4%
유가원설렁탕 1
 
2.4%
오두산막국수(통일로직영점 1
 
2.4%
나정순할매쭈꾸미 1
 
2.4%
청이네청도미나리삼겹 1
 
2.4%
구끼구끼 1
 
2.4%
오백년누룽지백숙 1
 
2.4%
상해 1
 
2.4%
운정갈비 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T17:01:17.167171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 5
 
2.0%
) 5
 
2.0%
구 5
 
2.0%
정 5
 
2.0%
5
 
2.0%
탕 5
 
2.0%
점 5
 
2.0%
나 4
 
1.6%
지 4
 
1.6%
주 4
 
1.6%
Other values (130) 199
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
87.8%
Lowercase Letter 10
 
4.1%
Open Punctuation 5
 
2.0%
Close Punctuation 5
 
2.0%
Space Separator 5
 
2.0%
Other Punctuation 3
 
1.2%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5
 
2.3%
정 5
 
2.3%
탕 5
 
2.3%
점 5
 
2.3%
나 4
 
1.9%
지 4
 
1.9%
주 4
 
1.9%
리 4
 
1.9%
이 4
 
1.9%
파 4
 
1.9%
Other values (115) 172
79.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
e 2
20.0%
r 2
20.0%
l 1
10.0%
b 1
10.0%
s 1
10.0%
m 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
& 1
33.3%
' 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
87.8%
Common 18
 
7.3%
Latin 12
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5
 
2.3%
정 5
 
2.3%
탕 5
 
2.3%
점 5
 
2.3%
나 4
 
1.9%
지 4
 
1.9%
주 4
 
1.9%
리 4
 
1.9%
이 4
 
1.9%
파 4
 
1.9%
Other values (115) 172
79.6%
Latin
ValueCountFrequency (%)
a 2
16.7%
e 2
16.7%
r 2
16.7%
l 1
8.3%
b 1
8.3%
T 1
8.3%
s 1
8.3%
m 1
8.3%
F 1
8.3%
Common
ValueCountFrequency (%)
( 5
27.8%
) 5
27.8%
5
27.8%
. 1
 
5.6%
& 1
 
5.6%
' 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
87.8%
ASCII 30
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 5
16.7%
) 5
16.7%
5
16.7%
a 2
 
6.7%
e 2
 
6.7%
r 2
 
6.7%
. 1
 
3.3%
l 1
 
3.3%
& 1
 
3.3%
b 1
 
3.3%
Other values (5) 5
16.7%
Hangul
ValueCountFrequency (%)
구 5
 
2.3%
정 5
 
2.3%
탕 5
 
2.3%
점 5
 
2.3%
나 4
 
1.9%
지 4
 
1.9%
주 4
 
1.9%
리 4
 
1.9%
이 4
 
1.9%
파 4
 
1.9%
Other values (115) 172
79.6%

업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
한식
30 
경양식
 
3
중국식
 
2
복어취급
 
1
일식
 
1

Length

Max length4
Median length2
Mean length2.1891892
Min length2

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
한식 30
81.1%
경양식 3
 
8.1%
중국식 2
 
5.4%
복어취급 1
 
2.7%
일식 1
 
2.7%

Length

2023-12-12T17:01:17.309543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:01:17.430663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 30
81.1%
경양식 3
 
8.1%
중국식 2
 
5.4%
복어취급 1
 
2.7%
일식 1
 
2.7%

주요메뉴
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:01:17.616733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.1621622
Min length2

Characters and Unicode

Total characters191
Distinct characters90
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row짬뽕,자장면
2nd row장어구이,메기매운탕
3rd row장어구이
4th row복어요리
5th row보리밥정식
ValueCountFrequency (%)
장어구이 2
 
4.8%
설렁탕 2
 
4.8%
짬뽕,자장면 1
 
2.4%
차돌된장찌개 1
 
2.4%
막국수,수육 1
 
2.4%
쭈꾸미 1
 
2.4%
삼겹살 1
 
2.4%
등심,갈비살 1
 
2.4%
누룽지백숙 1
 
2.4%
중식코스 1
 
2.4%
Other values (30) 30
71.4%
2023-12-12T17:01:17.993847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 10
 
5.2%
장 10
 
5.2%
식 8
 
4.2%
탕 8
 
4.2%
구 6
 
3.1%
이 5
 
2.6%
어 5
 
2.6%
지 5
 
2.6%
5
 
2.6%
정 4
 
2.1%
Other values (80) 125
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
91.6%
Other Punctuation 10
 
5.2%
Space Separator 5
 
2.6%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 10
 
5.7%
식 8
 
4.6%
탕 8
 
4.6%
구 6
 
3.4%
이 5
 
2.9%
어 5
 
2.9%
지 5
 
2.9%
정 4
 
2.3%
밥 4
 
2.3%
비 4
 
2.3%
Other values (77) 116
66.3%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
91.6%
Common 16
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 10
 
5.7%
식 8
 
4.6%
탕 8
 
4.6%
구 6
 
3.4%
이 5
 
2.9%
어 5
 
2.9%
지 5
 
2.9%
정 4
 
2.3%
밥 4
 
2.3%
비 4
 
2.3%
Other values (77) 116
66.3%
Common
ValueCountFrequency (%)
, 10
62.5%
5
31.2%
) 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
91.6%
ASCII 16
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 10
62.5%
5
31.2%
) 1
 
6.2%
Hangul
ValueCountFrequency (%)
장 10
 
5.7%
식 8
 
4.6%
탕 8
 
4.6%
구 6
 
3.4%
이 5
 
2.9%
어 5
 
2.9%
지 5
 
2.9%
정 4
 
2.3%
밥 4
 
2.3%
비 4
 
2.3%
Other values (77) 116
66.3%

소재지(도로명)
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:01:18.355965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length25.189189
Min length15

Characters and Unicode

Total characters932
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row경기도 파주시 명동길 43, 1,2층 (금촌동)
2nd row경기도 파주시 문산읍 반구정로85번길 13
3rd row경기도 파주시 파평면 장마루로 261
4th row경기도 파주시 월롱면 통일로 714
5th row경기도 파주시 탄현면 새오리로 110
ValueCountFrequency (%)
파주시 37
 
17.6%
경기도 36
 
17.1%
탄현면 14
 
6.7%
새오리로 10
 
4.8%
1층 7
 
3.3%
문발동 3
 
1.4%
교하로 3
 
1.4%
1,2층 2
 
1.0%
새꽃로 2
 
1.0%
아동동 2
 
1.0%
Other values (85) 94
44.8%
2023-12-12T17:01:18.785601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
18.6%
1 42
 
4.5%
기 40
 
4.3%
파 39
 
4.2%
주 38
 
4.1%
경 37
 
4.0%
시 37
 
4.0%
도 36
 
3.9%
로 30
 
3.2%
2 28
 
3.0%
Other values (96) 432
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
54.4%
Space Separator 173
 
18.6%
Decimal Number 158
 
17.0%
Close Punctuation 25
 
2.7%
Open Punctuation 25
 
2.7%
Other Punctuation 24
 
2.6%
Dash Punctuation 12
 
1.3%
Uppercase Letter 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 40
 
7.9%
파 39
 
7.7%
주 38
 
7.5%
경 37
 
7.3%
시 37
 
7.3%
도 36
 
7.1%
로 30
 
5.9%
동 20
 
3.9%
면 19
 
3.7%
층 18
 
3.6%
Other values (72) 193
38.1%
Decimal Number
ValueCountFrequency (%)
1 42
26.6%
2 28
17.7%
5 15
 
9.5%
3 13
 
8.2%
0 13
 
8.2%
4 11
 
7.0%
8 11
 
7.0%
9 10
 
6.3%
6 9
 
5.7%
7 6
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
12.5%
U 1
12.5%
N 1
12.5%
I 1
12.5%
R 1
12.5%
T 1
12.5%
A 1
12.5%
G 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 20
83.3%
. 4
 
16.7%
Space Separator
ValueCountFrequency (%)
173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
54.4%
Common 417
44.7%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 40
 
7.9%
파 39
 
7.7%
주 38
 
7.5%
경 37
 
7.3%
시 37
 
7.3%
도 36
 
7.1%
로 30
 
5.9%
동 20
 
3.9%
면 19
 
3.7%
층 18
 
3.6%
Other values (72) 193
38.1%
Common
ValueCountFrequency (%)
173
41.5%
1 42
 
10.1%
2 28
 
6.7%
) 25
 
6.0%
( 25
 
6.0%
, 20
 
4.8%
5 15
 
3.6%
3 13
 
3.1%
0 13
 
3.1%
- 12
 
2.9%
Other values (6) 51
 
12.2%
Latin
ValueCountFrequency (%)
S 1
12.5%
U 1
12.5%
N 1
12.5%
I 1
12.5%
R 1
12.5%
T 1
12.5%
A 1
12.5%
G 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
54.4%
ASCII 425
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
40.7%
1 42
 
9.9%
2 28
 
6.6%
) 25
 
5.9%
( 25
 
5.9%
, 20
 
4.7%
5 15
 
3.5%
3 13
 
3.1%
0 13
 
3.1%
- 12
 
2.8%
Other values (14) 59
 
13.9%
Hangul
ValueCountFrequency (%)
기 40
 
7.9%
파 39
 
7.7%
주 38
 
7.5%
경 37
 
7.3%
시 37
 
7.3%
도 36
 
7.1%
로 30
 
5.9%
동 20
 
3.9%
면 19
 
3.7%
층 18
 
3.6%
Other values (72) 193
38.1%

소재지(지번)
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:01:19.099675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29
Mean length24.648649
Min length17

Characters and Unicode

Total characters912
Distinct characters88
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row경기도 파주시 금촌동 323-10 1,2층
2nd row경기도 파주시 문산읍 사목리 208-3
3rd row경기도 파주시 파평면 장파리 370-119
4th row경기도 파주시 월롱면 영태리 산 112-2
5th row경기도 파주시 탄현면 성동리 96-9 ,11번지
ValueCountFrequency (%)
경기도 37
18.1%
파주시 37
18.1%
탄현면 14
 
6.9%
성동리 11
 
5.4%
1층 8
 
3.9%
문발동 3
 
1.5%
법흥리 2
 
1.0%
광탄면 2
 
1.0%
외 2
 
1.0%
다율동 2
 
1.0%
Other values (77) 86
42.2%
2023-12-12T17:01:19.600627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
21.4%
1 60
 
6.6%
파 40
 
4.4%
주 38
 
4.2%
기 38
 
4.2%
경 37
 
4.1%
도 37
 
4.1%
시 37
 
4.1%
- 36
 
3.9%
동 31
 
3.4%
Other values (78) 363
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
50.2%
Decimal Number 198
21.7%
Space Separator 195
21.4%
Dash Punctuation 36
 
3.9%
Other Punctuation 9
 
1.0%
Uppercase Letter 8
 
0.9%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 40
 
8.7%
주 38
 
8.3%
기 38
 
8.3%
경 37
 
8.1%
도 37
 
8.1%
시 37
 
8.1%
동 31
 
6.8%
리 27
 
5.9%
면 19
 
4.1%
탄 16
 
3.5%
Other values (54) 138
30.1%
Decimal Number
ValueCountFrequency (%)
1 60
30.3%
2 30
15.2%
3 19
 
9.6%
0 18
 
9.1%
7 16
 
8.1%
9 15
 
7.6%
6 14
 
7.1%
5 10
 
5.1%
8 8
 
4.0%
4 8
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
12.5%
S 1
12.5%
N 1
12.5%
I 1
12.5%
G 1
12.5%
A 1
12.5%
R 1
12.5%
T 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
50.2%
Common 446
48.9%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 40
 
8.7%
주 38
 
8.3%
기 38
 
8.3%
경 37
 
8.1%
도 37
 
8.1%
시 37
 
8.1%
동 31
 
6.8%
리 27
 
5.9%
면 19
 
4.1%
탄 16
 
3.5%
Other values (54) 138
30.1%
Common
ValueCountFrequency (%)
195
43.7%
1 60
 
13.5%
- 36
 
8.1%
2 30
 
6.7%
3 19
 
4.3%
0 18
 
4.0%
7 16
 
3.6%
9 15
 
3.4%
6 14
 
3.1%
5 10
 
2.2%
Other values (6) 33
 
7.4%
Latin
ValueCountFrequency (%)
U 1
12.5%
S 1
12.5%
N 1
12.5%
I 1
12.5%
G 1
12.5%
A 1
12.5%
R 1
12.5%
T 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
50.2%
ASCII 454
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
43.0%
1 60
 
13.2%
- 36
 
7.9%
2 30
 
6.6%
3 19
 
4.2%
0 18
 
4.0%
7 16
 
3.5%
9 15
 
3.3%
6 14
 
3.1%
5 10
 
2.2%
Other values (14) 41
 
9.0%
Hangul
ValueCountFrequency (%)
파 40
 
8.7%
주 38
 
8.3%
기 38
 
8.3%
경 37
 
8.1%
도 37
 
8.1%
시 37
 
8.1%
동 31
 
6.8%
리 27
 
5.9%
면 19
 
4.1%
탄 16
 
3.5%
Other values (54) 138
30.1%

영업장면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417.06757
Minimum90.02
Maximum3031.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T17:01:19.751570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.02
5-th percentile130.264
Q1196.27
median284.8
Q3432.9
95-th percentile932.294
Maximum3031.72
Range2941.7
Interquartile range (IQR)236.63

Descriptive statistics

Standard deviation493.2635
Coefficient of variation (CV)1.1826944
Kurtosis22.982405
Mean417.06757
Median Absolute Deviation (MAD)113.68
Skewness4.4862122
Sum15431.5
Variance243308.88
MonotonicityNot monotonic
2023-12-12T17:01:19.913783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
432.9 1
 
2.7%
175.05 1
 
2.7%
411.49 1
 
2.7%
282.53 1
 
2.7%
152.16 1
 
2.7%
197.12 1
 
2.7%
849.2 1
 
2.7%
234.17 1
 
2.7%
376.0 1
 
2.7%
265.63 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
90.02 1
2.7%
112.32 1
2.7%
134.75 1
2.7%
150.0 1
2.7%
152.16 1
2.7%
171.12 1
2.7%
175.05 1
2.7%
176.75 1
2.7%
185.09 1
2.7%
196.27 1
2.7%
ValueCountFrequency (%)
3031.72 1
2.7%
1264.67 1
2.7%
849.2 1
2.7%
561.72 1
2.7%
529.76 1
2.7%
492.62 1
2.7%
489.97 1
2.7%
457.92 1
2.7%
452.0 1
2.7%
432.9 1
2.7%

소재지전화
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T17:01:20.199014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.972973
Min length9

Characters and Unicode

Total characters443
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

Unique37 ?
Unique (%)100.0%

Sample

1st row031-941-2226
2nd row031-952-3472
3rd row031-958-3321
4th row031-941-4538
5th row031-945-5957
ValueCountFrequency (%)
031-941-2226 1
 
2.7%
031-952-7200 1
 
2.7%
031-948-5353 1
 
2.7%
031-941-5237 1
 
2.7%
031-942-6922 1
 
2.7%
031-8071-5292 1
 
2.7%
031-949-1492 1
 
2.7%
031-8071-6500 1
 
2.7%
031-945-5880 1
 
2.7%
031-941-2858 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T17:01:20.694309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 73
16.5%
1 54
12.2%
0 49
11.1%
3 49
11.1%
9 49
11.1%
4 46
10.4%
2 33
7.4%
5 30
6.8%
8 23
 
5.2%
7 19
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 370
83.5%
Dash Punctuation 73
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 54
14.6%
0 49
13.2%
3 49
13.2%
9 49
13.2%
4 46
12.4%
2 33
8.9%
5 30
8.1%
8 23
6.2%
7 19
 
5.1%
6 18
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 443
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 73
16.5%
1 54
12.2%
0 49
11.1%
3 49
11.1%
9 49
11.1%
4 46
10.4%
2 33
7.4%
5 30
6.8%
8 23
 
5.2%
7 19
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 443
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 73
16.5%
1 54
12.2%
0 49
11.1%
3 49
11.1%
9 49
11.1%
4 46
10.4%
2 33
7.4%
5 30
6.8%
8 23
 
5.2%
7 19
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-05-02
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-02
2nd row2023-05-02
3rd row2023-05-02
4th row2023-05-02
5th row2023-05-02

Common Values

ValueCountFrequency (%)
2023-05-02 37
100.0%

Length

2023-12-12T17:01:20.868031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:01:21.032205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-02 37
100.0%

Interactions

2023-12-12T17:01:16.232347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:01:21.128856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업태명주요메뉴소재지(도로명)소재지(지번)영업장면적(제곱미터)소재지전화
업소명1.0001.0001.0001.0001.0001.0001.000
업태명1.0001.0001.0001.0001.0000.0001.000
주요메뉴1.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.000
영업장면적(제곱미터)1.0000.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
2023-12-12T17:01:21.247803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적(제곱미터)업태명
영업장면적(제곱미터)1.0000.000
업태명0.0001.000

Missing values

2023-12-12T17:01:16.340678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:01:16.453821image/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

업종명업소명업태명주요메뉴소재지(도로명)소재지(지번)영업장면적(제곱미터)소재지전화데이터기준일자
0일반음식점덕성원중국식짬뽕,자장면경기도 파주시 명동길 43, 1,2층 (금촌동)경기도 파주시 금촌동 323-10 1,2층432.9031-941-22262023-05-02
1일반음식점(주)반구정나루터집한식장어구이,메기매운탕경기도 파주시 문산읍 반구정로85번길 13경기도 파주시 문산읍 사목리 208-33031.72031-952-34722023-05-02
2일반음식점진미식당한식장어구이경기도 파주시 파평면 장마루로 261경기도 파주시 파평면 장파리 370-119171.12031-958-33212023-05-02
3일반음식점복청복어취급복어요리경기도 파주시 월롱면 통일로 714경기도 파주시 월롱면 영태리 산 112-2112.32031-941-45382023-05-02
4일반음식점옛날시골밥상한식보리밥정식경기도 파주시 탄현면 새오리로 110경기도 파주시 탄현면 성동리 96-9 ,11번지383.9031-945-59572023-05-02
5일반음식점장단가든한식손두부경기도 파주시 문산읍 임진나루길 133-12, 2층경기도 파주시 문산읍 임진리 8-72 외1필지 2층264.0031-954-15592023-05-02
6일반음식점아구나라한식아구탕,아구찜경기도 파주시 조리읍 송비말길 79-15 ((나동))경기도 파주시 조리읍 봉일천리 177-5 (나동)134.75031-944-31022023-05-02
7일반음식점신성아구찜한식묵요리경기도 파주시 탄현면 새오리로 50 (1층)경기도 파주시 탄현면 성동리 67-13 1층258.2031-946-99202023-05-02
8일반음식점산내음한식산채비빔밥경기도 파주시 탄현면 평화로 885-18경기도 파주시 탄현면 성동리 663-10492.62031-946-81552023-05-02
9일반음식점유일곰탕한식한식)곰탕경기도 파주시 월롱면 다락고개길 119경기도 파주시 월롱면 위전리 430-2790.02031-944-36912023-05-02
업종명업소명업태명주요메뉴소재지(도로명)소재지(지번)영업장면적(제곱미터)소재지전화데이터기준일자
27일반음식점상해중국식중식코스경기도 파주시 교하로863번길 54 (문발동)경기도 파주시 문발동 79-3376.0031-945-58802023-05-02
28일반음식점운정갈비한식갈비경기도 파주시 가람로 2, 201호 (와동동, 센타프라자 )경기도 파주시 와동동 1301-1 센타프라자 201호175.05031-941-28582023-05-02
29일반음식점본가(파주운정점)한식차돌된장찌개경기도 파주시 가온로 172, 2층 (와동동)경기도 파주시 와동동 1399-1265.63031-944-58372023-05-02
30일반음식점꼿그이한식간장게장경기도 파주시 지목로 81-19 (문발동)경기도 파주시 문발동 81-19284.81566-62202023-05-02
31일반음식점황금코다리(헤이리점)한식한정식경기도 파주시 탄현면 새오리로 4, 1.2층경기도 파주시 탄현면 법흥리 752-1 외 1필지 1.2층452.0031-944-22442023-05-02
32일반음식점목우촌마을 파주광탄점한식쇠고기 돼지고기 구이경기도 파주시 광탄면 기산로 81, 1층경기도 파주시 광탄면 영장리 238-8 1층223.2031-944-97442023-05-02
33일반음식점교하정한식한우등심경기도 파주시 교하로 1290, 1,2층 (교하동)경기도 파주시 교하동 617-12 외1필지 1,2층1264.67031-942-77882023-05-02
34일반음식점라치오 비.엘경양식스테이크,스파게티,피자경기도 파주시 탄현면 새오리로 29경기도 파주시 탄현면 성동리 231-1457.92031-947-56722023-05-02
35일반음식점용궁칼국수한식해물칼국수경기도 파주시 탄현면 새오리로 59-52, 1층경기도 파주시 탄현면 성동리 77-1 1층397.0031-944-88052023-05-02
36일반음식점콩밭 뜰한식국밥경기도 파주시 탄현면 새오리로 45, 1층경기도 파주시 탄현면 성동리 186-16 1층150.0031-941-00172023-05-02