Overview

Dataset statistics

Number of variables9
Number of observations878
Missing cells99
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.7 KiB
Average record size in memory73.2 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description경상남도 진주시 관내 음식점(한식, 양식, 카페 등)에 대한 데이터를 제공합니다. 항목 : ID, 시도, 시군구, 업태, 주메뉴, 업소명, 주소, 전화번호, 기준일자
Author경상남도 진주시
URLhttps://www.data.go.kr/data/15097731/fileData.do

Alerts

시도 is highly imbalanced (64.5%)Imbalance
시군구 is highly imbalanced (95.8%)Imbalance
전화번호 has 99 (11.3%) missing valuesMissing
번호 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:58:55.940255
Analysis finished2023-12-12 22:58:57.241493
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct878
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1000439.5
Minimum1000001
Maximum1000878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2023-12-13T07:58:57.317065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000001
5-th percentile1000044.8
Q11000220.2
median1000439.5
Q31000658.8
95-th percentile1000834.2
Maximum1000878
Range877
Interquartile range (IQR)438.5

Descriptive statistics

Standard deviation253.60106
Coefficient of variation (CV)0.00025348966
Kurtosis-1.2
Mean1000439.5
Median Absolute Deviation (MAD)219.5
Skewness0
Sum8.7838588 × 108
Variance64313.5
MonotonicityStrictly increasing
2023-12-13T07:58:57.460982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000001 1
 
0.1%
1000591 1
 
0.1%
1000580 1
 
0.1%
1000581 1
 
0.1%
1000582 1
 
0.1%
1000583 1
 
0.1%
1000584 1
 
0.1%
1000585 1
 
0.1%
1000586 1
 
0.1%
1000587 1
 
0.1%
Other values (868) 868
98.9%
ValueCountFrequency (%)
1000001 1
0.1%
1000002 1
0.1%
1000003 1
0.1%
1000004 1
0.1%
1000005 1
0.1%
1000006 1
0.1%
1000007 1
0.1%
1000008 1
0.1%
1000009 1
0.1%
1000010 1
0.1%
ValueCountFrequency (%)
1000878 1
0.1%
1000877 1
0.1%
1000876 1
0.1%
1000875 1
0.1%
1000874 1
0.1%
1000873 1
0.1%
1000872 1
0.1%
1000871 1
0.1%
1000870 1
0.1%
1000869 1
0.1%

시도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
경상남도
819 
경상남도
 
59

Length

Max length5
Median length4
Mean length4.0671982
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 819
93.3%
경상남도 59
 
6.7%

Length

2023-12-13T07:58:57.608040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:58:57.716826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 878
100.0%

시군구
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
진주시
874 
사천시
 
4

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주시 874
99.5%
사천시 4
 
0.5%

Length

2023-12-13T07:58:57.822147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:58:57.928933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주시 874
99.5%
사천시 4
 
0.5%

업태
Categorical

Distinct30
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
한식
405 
카페
142 
일식
81 
양식
50 
중식
48 
Other values (25)
152 

Length

Max length6
Median length2
Mean length2.1947608
Min length1

Unique

Unique8 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
한식 405
46.1%
카페 142
 
16.2%
일식 81
 
9.2%
양식 50
 
5.7%
중식 48
 
5.5%
베이커리 30
 
3.4%
분식 26
 
3.0%
바(BAR) 17
 
1.9%
치킨 11
 
1.3%
장어 10
 
1.1%
Other values (20) 58
 
6.6%

Length

2023-12-13T07:58:58.020546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 405
46.1%
카페 142
 
16.2%
일식 81
 
9.2%
양식 50
 
5.7%
중식 48
 
5.5%
베이커리 30
 
3.4%
분식 26
 
3.0%
바(bar 17
 
1.9%
치킨 11
 
1.3%
장어 10
 
1.1%
Other values (20) 58
 
6.6%

주메뉴
Text

Distinct782
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2023-12-13T07:58:58.231778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.2425968
Min length1

Characters and Unicode

Total characters7237
Distinct characters505
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique732 ?
Unique (%)83.4%

Sample

1st row등심돈까스
2nd row삽겹살/목살
3rd row삼겹살/목살
4th row파스타/리조또
5th row수비드비프/먹물리조또
ValueCountFrequency (%)
아메리카노 10
 
1.1%
커피 7
 
0.8%
뷔페 6
 
0.7%
삼겹살/목살 5
 
0.6%
물국수/비빔국수 5
 
0.6%
물밀면/비빔밀면 5
 
0.6%
마카롱 4
 
0.5%
국수 4
 
0.5%
곰탕 4
 
0.5%
아메리카노/카페라떼 4
 
0.5%
Other values (772) 824
93.8%
2023-12-13T07:58:58.633267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 632
 
8.7%
리 148
 
2.0%
스 139
 
1.9%
이 134
 
1.9%
수 124
 
1.7%
밥 122
 
1.7%
비 116
 
1.6%
국 112
 
1.5%
치 111
 
1.5%
카 98
 
1.4%
Other values (495) 5501
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6559
90.6%
Other Punctuation 635
 
8.8%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Decimal Number 9
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 148
 
2.3%
스 139
 
2.1%
이 134
 
2.0%
수 124
 
1.9%
밥 122
 
1.9%
비 116
 
1.8%
국 112
 
1.7%
치 111
 
1.7%
카 98
 
1.5%
탕 95
 
1.4%
Other values (472) 5360
81.7%
Uppercase Letter
ValueCountFrequency (%)
P 2
25.0%
T 1
12.5%
I 1
12.5%
V 1
12.5%
E 1
12.5%
S 1
12.5%
O 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
16.7%
s 1
16.7%
e 1
16.7%
t 1
16.7%
n 1
16.7%
o 1
16.7%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
3 3
33.3%
2 2
22.2%
8 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 632
99.5%
& 3
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6559
90.6%
Common 664
 
9.2%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 148
 
2.3%
스 139
 
2.1%
이 134
 
2.0%
수 124
 
1.9%
밥 122
 
1.9%
비 116
 
1.8%
국 112
 
1.7%
치 111
 
1.7%
카 98
 
1.5%
탕 95
 
1.4%
Other values (472) 5360
81.7%
Latin
ValueCountFrequency (%)
P 2
14.3%
k 1
 
7.1%
T 1
 
7.1%
I 1
 
7.1%
V 1
 
7.1%
E 1
 
7.1%
S 1
 
7.1%
s 1
 
7.1%
e 1
 
7.1%
t 1
 
7.1%
Other values (3) 3
21.4%
Common
ValueCountFrequency (%)
/ 632
95.2%
) 9
 
1.4%
( 9
 
1.4%
4 3
 
0.5%
& 3
 
0.5%
3 3
 
0.5%
2 2
 
0.3%
8 1
 
0.2%
+ 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6559
90.6%
ASCII 678
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 632
93.2%
) 9
 
1.3%
( 9
 
1.3%
4 3
 
0.4%
& 3
 
0.4%
3 3
 
0.4%
2 2
 
0.3%
P 2
 
0.3%
k 1
 
0.1%
8 1
 
0.1%
Other values (13) 13
 
1.9%
Hangul
ValueCountFrequency (%)
리 148
 
2.3%
스 139
 
2.1%
이 134
 
2.0%
수 124
 
1.9%
밥 122
 
1.9%
비 116
 
1.8%
국 112
 
1.7%
치 111
 
1.7%
카 98
 
1.5%
탕 95
 
1.4%
Other values (472) 5360
81.7%

업소명
Text

UNIQUE 

Distinct878
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2023-12-13T07:58:58.917056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.998861
Min length1

Characters and Unicode

Total characters5267
Distinct characters591
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

Unique878 ?
Unique (%)100.0%

Sample

1st row1440수제돈까스
2nd row250도 평거점
3rd row250도 하대점
4th row4BLISS
5th row4F루프탑
ValueCountFrequency (%)
진주점 19
 
1.8%
본점 18
 
1.7%
진주평거점 15
 
1.4%
진주혁신점 14
 
1.3%
평거점 8
 
0.7%
하대점 7
 
0.7%
진주본점 6
 
0.6%
진주경상대점 6
 
0.6%
진주혁신도시점 5
 
0.5%
초전점 4
 
0.4%
Other values (926) 966
90.4%
2023-12-13T07:58:59.342134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
3.6%
점 189
 
3.6%
주 164
 
3.1%
진 156
 
3.0%
이 95
 
1.8%
스 81
 
1.5%
식 70
 
1.3%
리 65
 
1.2%
대 65
 
1.2%
당 57
 
1.1%
Other values (581) 4135
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4884
92.7%
Space Separator 190
 
3.6%
Decimal Number 75
 
1.4%
Lowercase Letter 57
 
1.1%
Uppercase Letter 50
 
0.9%
Other Punctuation 9
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 189
 
3.9%
주 164
 
3.4%
진 156
 
3.2%
이 95
 
1.9%
스 81
 
1.7%
식 70
 
1.4%
리 65
 
1.3%
대 65
 
1.3%
당 57
 
1.2%
수 51
 
1.0%
Other values (530) 3891
79.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
17.5%
o 8
14.0%
t 5
8.8%
f 5
8.8%
r 5
8.8%
s 4
 
7.0%
i 3
 
5.3%
a 3
 
5.3%
c 2
 
3.5%
n 2
 
3.5%
Other values (8) 10
17.5%
Uppercase Letter
ValueCountFrequency (%)
A 8
16.0%
S 7
14.0%
E 4
 
8.0%
B 4
 
8.0%
F 3
 
6.0%
D 3
 
6.0%
M 3
 
6.0%
T 3
 
6.0%
N 2
 
4.0%
L 2
 
4.0%
Other values (7) 11
22.0%
Decimal Number
ValueCountFrequency (%)
0 14
18.7%
1 11
14.7%
2 11
14.7%
4 10
13.3%
5 10
13.3%
3 6
8.0%
9 5
 
6.7%
7 4
 
5.3%
8 2
 
2.7%
6 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 6
66.7%
. 2
 
22.2%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4884
92.7%
Common 276
 
5.2%
Latin 107
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 189
 
3.9%
주 164
 
3.4%
진 156
 
3.2%
이 95
 
1.9%
스 81
 
1.7%
식 70
 
1.4%
리 65
 
1.3%
대 65
 
1.3%
당 57
 
1.2%
수 51
 
1.0%
Other values (530) 3891
79.7%
Latin
ValueCountFrequency (%)
e 10
 
9.3%
o 8
 
7.5%
A 8
 
7.5%
S 7
 
6.5%
t 5
 
4.7%
f 5
 
4.7%
r 5
 
4.7%
E 4
 
3.7%
B 4
 
3.7%
s 4
 
3.7%
Other values (25) 47
43.9%
Common
ValueCountFrequency (%)
190
68.8%
0 14
 
5.1%
1 11
 
4.0%
2 11
 
4.0%
4 10
 
3.6%
5 10
 
3.6%
3 6
 
2.2%
& 6
 
2.2%
9 5
 
1.8%
7 4
 
1.4%
Other values (6) 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4884
92.7%
ASCII 383
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
49.6%
0 14
 
3.7%
1 11
 
2.9%
2 11
 
2.9%
e 10
 
2.6%
4 10
 
2.6%
5 10
 
2.6%
o 8
 
2.1%
A 8
 
2.1%
S 7
 
1.8%
Other values (41) 104
27.2%
Hangul
ValueCountFrequency (%)
점 189
 
3.9%
주 164
 
3.4%
진 156
 
3.2%
이 95
 
1.9%
스 81
 
1.7%
식 70
 
1.4%
리 65
 
1.3%
대 65
 
1.3%
당 57
 
1.2%
수 51
 
1.0%
Other values (530) 3891
79.7%

주소
Text

Distinct855
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2023-12-13T07:58:59.698656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length20.871298
Min length14

Characters and Unicode

Total characters18325
Distinct characters333
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique837 ?
Unique (%)95.3%

Sample

1st row경상남도 진주시 강남로189번길 24-1
2nd row경상남도 진주시 남강로309번길 42-13 1층
3rd row경상남도 진주시 하대로 95 1층
4th row경상남도 진주시 촉석로157번길 1
5th row경상남도 진주시 남강로309번길 14
ValueCountFrequency (%)
경상남도 875
21.8%
진주시 873
21.7%
1층 126
 
3.1%
진주대로 36
 
0.9%
금산면 34
 
0.8%
6 27
 
0.7%
10 25
 
0.6%
7 25
 
0.6%
충의로 25
 
0.6%
진양호로 25
 
0.6%
Other values (990) 1944
48.4%
2023-12-13T07:59:00.211302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3141
17.1%
진 1052
 
5.7%
주 994
 
5.4%
1 967
 
5.3%
남 960
 
5.2%
도 915
 
5.0%
시 901
 
4.9%
경 893
 
4.9%
상 889
 
4.9%
로 721
 
3.9%
Other values (323) 6892
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11174
61.0%
Decimal Number 3651
 
19.9%
Space Separator 3141
 
17.1%
Dash Punctuation 300
 
1.6%
Lowercase Letter 27
 
0.1%
Uppercase Letter 17
 
0.1%
Other Punctuation 11
 
0.1%
Connector Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 1052
 
9.4%
주 994
 
8.9%
남 960
 
8.6%
도 915
 
8.2%
시 901
 
8.1%
경 893
 
8.0%
상 889
 
8.0%
로 721
 
6.5%
길 563
 
5.0%
번 432
 
3.9%
Other values (281) 2854
25.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
14.8%
t 3
11.1%
e 3
11.1%
f 2
 
7.4%
o 2
 
7.4%
l 2
 
7.4%
k 2
 
7.4%
i 2
 
7.4%
p 1
 
3.7%
r 1
 
3.7%
Other values (5) 5
18.5%
Decimal Number
ValueCountFrequency (%)
1 967
26.5%
2 532
14.6%
3 352
 
9.6%
0 322
 
8.8%
5 284
 
7.8%
4 267
 
7.3%
6 259
 
7.1%
7 235
 
6.4%
9 226
 
6.2%
8 207
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
23.5%
M 4
23.5%
A 3
17.6%
C 2
11.8%
D 1
 
5.9%
P 1
 
5.9%
F 1
 
5.9%
E 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
, 3
27.3%
. 2
 
18.2%
Space Separator
ValueCountFrequency (%)
3141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 300
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11174
61.0%
Common 7107
38.8%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 1052
 
9.4%
주 994
 
8.9%
남 960
 
8.6%
도 915
 
8.2%
시 901
 
8.1%
경 893
 
8.0%
상 889
 
8.0%
로 721
 
6.5%
길 563
 
5.0%
번 432
 
3.9%
Other values (281) 2854
25.5%
Latin
ValueCountFrequency (%)
S 4
 
9.1%
M 4
 
9.1%
a 4
 
9.1%
A 3
 
6.8%
t 3
 
6.8%
e 3
 
6.8%
f 2
 
4.5%
o 2
 
4.5%
l 2
 
4.5%
C 2
 
4.5%
Other values (13) 15
34.1%
Common
ValueCountFrequency (%)
3141
44.2%
1 967
 
13.6%
2 532
 
7.5%
3 352
 
5.0%
0 322
 
4.5%
- 300
 
4.2%
5 284
 
4.0%
4 267
 
3.8%
6 259
 
3.6%
7 235
 
3.3%
Other values (9) 448
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11174
61.0%
ASCII 7151
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3141
43.9%
1 967
 
13.5%
2 532
 
7.4%
3 352
 
4.9%
0 322
 
4.5%
- 300
 
4.2%
5 284
 
4.0%
4 267
 
3.7%
6 259
 
3.6%
7 235
 
3.3%
Other values (32) 492
 
6.9%
Hangul
ValueCountFrequency (%)
진 1052
 
9.4%
주 994
 
8.9%
남 960
 
8.6%
도 915
 
8.2%
시 901
 
8.1%
경 893
 
8.0%
상 889
 
8.0%
로 721
 
6.5%
길 563
 
5.0%
번 432
 
3.9%
Other values (281) 2854
25.5%

전화번호
Text

MISSING 

Distinct768
Distinct (%)98.6%
Missing99
Missing (%)11.3%
Memory size7.0 KiB
2023-12-13T07:59:00.427829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.432606
Min length11

Characters and Unicode

Total characters9685
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

Unique759 ?
Unique (%)97.4%

Sample

1st row055-755-1440
2nd row0507-1411-2879
3rd row070-8861-2879
4th row055-745-9350
5th row0507-1312-2317
ValueCountFrequency (%)
055-741-2151 3
 
0.4%
055-749-4531 3
 
0.4%
055-755-3399 2
 
0.3%
055-749-4121 2
 
0.3%
055-758-2240 2
 
0.3%
055-742-2938 2
 
0.3%
0507-1313-2284 2
 
0.3%
055-749-4461 2
 
0.3%
055-758-3898 2
 
0.3%
0507-1332-7893 1
 
0.1%
Other values (758) 758
97.3%
2023-12-13T07:59:00.792004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2000
20.7%
- 1558
16.1%
0 1374
14.2%
7 1199
12.4%
4 644
 
6.6%
1 577
 
6.0%
2 517
 
5.3%
3 503
 
5.2%
8 469
 
4.8%
6 423
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8127
83.9%
Dash Punctuation 1558
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2000
24.6%
0 1374
16.9%
7 1199
14.8%
4 644
 
7.9%
1 577
 
7.1%
2 517
 
6.4%
3 503
 
6.2%
8 469
 
5.8%
6 423
 
5.2%
9 421
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 1558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9685
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2000
20.7%
- 1558
16.1%
0 1374
14.2%
7 1199
12.4%
4 644
 
6.6%
1 577
 
6.0%
2 517
 
5.3%
3 503
 
5.2%
8 469
 
4.8%
6 423
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2000
20.7%
- 1558
16.1%
0 1374
14.2%
7 1199
12.4%
4 644
 
6.6%
1 577
 
6.0%
2 517
 
5.3%
3 503
 
5.2%
8 469
 
4.8%
6 423
 
4.4%

데이터수집일
Date

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2021-07-28 00:00:00
Maximum2021-11-18 00:00:00
2023-12-13T07:59:00.934346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:59:01.063590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

Interactions

2023-12-13T07:58:56.857042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:59:01.144593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시도시군구업태데이터수집일
번호1.0000.2560.0000.3050.000
시도0.2561.0000.1190.0000.237
시군구0.0000.1191.0000.0000.133
업태0.3050.0000.0001.0000.328
데이터수집일0.0000.2370.1330.3281.000
2023-12-13T07:59:01.251422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태시군구시도
업태1.0000.0000.000
시군구0.0001.0000.076
시도0.0000.0761.000
2023-12-13T07:59:01.326009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시도시군구업태
번호1.0000.1990.0000.100
시도0.1991.0000.0760.000
시군구0.0000.0761.0000.000
업태0.1000.0000.0001.000

Missing values

2023-12-13T07:58:57.062106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:58:57.187403image/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

번호시도시군구업태주메뉴업소명주소전화번호데이터수집일
01000001경상남도진주시한식등심돈까스1440수제돈까스경상남도 진주시 강남로189번길 24-1055-755-14402021-08-02
11000002경상남도진주시한식삽겹살/목살250도 평거점경상남도 진주시 남강로309번길 42-13 1층0507-1411-28792021-07-28
21000003경상남도진주시한식삼겹살/목살250도 하대점경상남도 진주시 하대로 95 1층070-8861-28792021-08-03
31000004경상남도진주시양식파스타/리조또4BLISS경상남도 진주시 촉석로157번길 1<NA>2021-08-03
41000005경상남도진주시양식수비드비프/먹물리조또4F루프탑경상남도 진주시 남강로309번길 14055-745-93502021-08-02
51000006경상남도진주시바(BAR)두루치기/갈치구이57포차경상남도 진주시 동진로38번길 5-10507-1312-23172021-07-29
61000007경상남도진주시곱창염통/곱창945한우곱창경상남도 진주시 새들말로 56-14<NA>2021-08-02
71000008경상남도진주시카페에스프레소/아메리카노AES(이스)경상남도 진주시 진주대로1032번길 4-10507-1338-01132021-08-03
81000009경상남도진주시카페아메리카노/카페라떼CAFE 502경상남도 진주시 강변길20번길 2<NA>2021-07-30
91000010경상남도진주시카페커피/디저트cafeAAM경상남도 진주시 말티고개로 31 1층055-753-00252021-08-02
번호시도시군구업태주메뉴업소명주소전화번호데이터수집일
8681000869경상남도진주시한식방어회회뜰날경상남도 진주시 충의로 20-18055-756-71722021-08-02
8691000870경상남도진주시일식냉라멘/돈코츠라멘효쿠라멘경상남도 진주시 새들말로68번길 10-1055-746-16662021-08-02
8701000871경상남도진주시양식훈정돈까스/크림파스타훈정돈까스경상남도 진주시 신평공원길7번길 6055-748-82582021-07-29
8711000872경상남도진주시치킨참숯핫바베큐/(서비스)냉면훌랄라참숯바베큐치킨 평거1점경상남도 진주시 평거로 22055-748-92922021-08-02
8721000873경상남도진주시카페버블티/밀크티흑란경상남도 진주시 진주대로 506-1055-749-45312021-08-02
8731000874경상남도진주시일식규동/카라미소라멘히노아지 진주갤러리아점경상남도 진주시 진주대로 1095 갤러리아 진주점 지하1층055-791-15832021-08-02
8741000875경상남도진주시카페라떼비엔나히든커피로스터스경상남도 진주시 판문로 239 1층 히든커피로스터스<NA>2021-08-02
8751000876경상남도진주시카페라떼비엔나히든커피바경상남도 진주시 솔밭로132번길 33<NA>2021-08-02
8761000877경상남도진주시일식모듬초밥/연어롤히비쿠경상남도 진주시 초북로20번길 8055-759-90802021-07-28
8771000878경상남도진주시일식가츠나베/김치가츠나베히요리당경상남도 진주시 창렬로114번길 6-10507-1392-77222021-08-02