Overview

Dataset statistics

Number of variables8
Number of observations7168
Missing cells3736
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory455.1 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description경상남도 진주시 소재의 모범음식점에 대한 데이터를(유형, 업소명, 소재지, 주메뉴, 전화번호, 데이터기준일 등) 제공합니다.
Author경상남도 진주시
URLhttps://www.data.go.kr/data/3074831/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일 has constant value ""Constant
전화번호 has 3681 (51.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:31:45.401086
Analysis finished2023-12-12 15:31:48.009800
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct7168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3584.5
Minimum1
Maximum7168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T00:31:48.099230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile359.35
Q11792.75
median3584.5
Q35376.25
95-th percentile6809.65
Maximum7168
Range7167
Interquartile range (IQR)3583.5

Descriptive statistics

Standard deviation2069.3677
Coefficient of variation (CV)0.57731
Kurtosis-1.2
Mean3584.5
Median Absolute Deviation (MAD)1792
Skewness0
Sum25693696
Variance4282282.7
MonotonicityStrictly increasing
2023-12-13T00:31:48.257416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3586 1
 
< 0.1%
4788 1
 
< 0.1%
4787 1
 
< 0.1%
4786 1
 
< 0.1%
4785 1
 
< 0.1%
4784 1
 
< 0.1%
4783 1
 
< 0.1%
4782 1
 
< 0.1%
4781 1
 
< 0.1%
Other values (7158) 7158
99.9%
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 (%)
7168 1
< 0.1%
7167 1
< 0.1%
7166 1
< 0.1%
7165 1
< 0.1%
7164 1
< 0.1%
7163 1
< 0.1%
7162 1
< 0.1%
7161 1
< 0.1%
7160 1
< 0.1%
7159 1
< 0.1%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
경상남도
7168 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 7168
100.0%

Length

2023-12-13T00:31:48.448117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:31:48.585276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 7168
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
진주시
7168 

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 7168
100.0%

Length

2023-12-13T00:31:48.693881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:31:48.799959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주시 7168
100.0%
Distinct6814
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
2023-12-13T00:31:49.069452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length6.7201451
Min length1

Characters and Unicode

Total characters48170
Distinct characters982
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6538 ?
Unique (%)91.2%

Sample

1st row효성반점
2nd row태양순대분식센터
3rd row마라도횟집
4th row하동복집
5th row구내식당
ValueCountFrequency (%)
진주점 43
 
0.5%
진주혁신점 43
 
0.5%
진주평거점 33
 
0.4%
평거점 30
 
0.4%
초전점 24
 
0.3%
진주혁신도시점 23
 
0.3%
세븐일레븐 22
 
0.3%
coffee 21
 
0.3%
씨유 20
 
0.2%
진주초전점 17
 
0.2%
Other values (7088) 8050
96.7%
2023-12-13T00:31:49.632379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1832
 
3.8%
1323
 
2.7%
1182
 
2.5%
1161
 
2.4%
862
 
1.8%
734
 
1.5%
703
 
1.5%
) 605
 
1.3%
( 605
 
1.3%
596
 
1.2%
Other values (972) 38567
80.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42026
87.2%
Uppercase Letter 1538
 
3.2%
Lowercase Letter 1268
 
2.6%
Space Separator 1161
 
2.4%
Decimal Number 856
 
1.8%
Close Punctuation 605
 
1.3%
Open Punctuation 605
 
1.3%
Other Punctuation 95
 
0.2%
Dash Punctuation 10
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1832
 
4.4%
1323
 
3.1%
1182
 
2.8%
862
 
2.1%
734
 
1.7%
703
 
1.7%
596
 
1.4%
553
 
1.3%
544
 
1.3%
455
 
1.1%
Other values (895) 33242
79.1%
Lowercase Letter
ValueCountFrequency (%)
e 201
15.9%
o 129
 
10.2%
a 104
 
8.2%
r 95
 
7.5%
n 84
 
6.6%
i 76
 
6.0%
f 67
 
5.3%
s 58
 
4.6%
c 58
 
4.6%
t 58
 
4.6%
Other values (16) 338
26.7%
Uppercase Letter
ValueCountFrequency (%)
E 145
 
9.4%
C 127
 
8.3%
O 119
 
7.7%
A 109
 
7.1%
S 91
 
5.9%
B 80
 
5.2%
N 78
 
5.1%
G 77
 
5.0%
P 72
 
4.7%
H 65
 
4.2%
Other values (16) 575
37.4%
Decimal Number
ValueCountFrequency (%)
2 197
23.0%
5 166
19.4%
1 120
14.0%
0 108
12.6%
4 58
 
6.8%
9 55
 
6.4%
3 44
 
5.1%
7 39
 
4.6%
6 35
 
4.1%
8 34
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 27
28.4%
& 25
26.3%
, 22
23.2%
' 5
 
5.3%
: 5
 
5.3%
· 4
 
4.2%
? 3
 
3.2%
3
 
3.2%
! 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 605
100.0%
Open Punctuation
ValueCountFrequency (%)
( 605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42005
87.2%
Common 3338
 
6.9%
Latin 2806
 
5.8%
Han 17
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1832
 
4.4%
1323
 
3.1%
1182
 
2.8%
862
 
2.1%
734
 
1.7%
703
 
1.7%
596
 
1.4%
553
 
1.3%
544
 
1.3%
455
 
1.1%
Other values (878) 33221
79.1%
Latin
ValueCountFrequency (%)
e 201
 
7.2%
E 145
 
5.2%
o 129
 
4.6%
C 127
 
4.5%
O 119
 
4.2%
A 109
 
3.9%
a 104
 
3.7%
r 95
 
3.4%
S 91
 
3.2%
n 84
 
3.0%
Other values (42) 1602
57.1%
Common
ValueCountFrequency (%)
1161
34.8%
) 605
18.1%
( 605
18.1%
2 197
 
5.9%
5 166
 
5.0%
1 120
 
3.6%
0 108
 
3.2%
4 58
 
1.7%
9 55
 
1.6%
3 44
 
1.3%
Other values (15) 219
 
6.6%
Han
ValueCountFrequency (%)
2
 
11.8%
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%
Hiragana
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42002
87.2%
ASCII 6137
 
12.7%
CJK 17
 
< 0.1%
None 7
 
< 0.1%
Hiragana 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1832
 
4.4%
1323
 
3.1%
1182
 
2.8%
862
 
2.1%
734
 
1.7%
703
 
1.7%
596
 
1.4%
553
 
1.3%
544
 
1.3%
455
 
1.1%
Other values (875) 33218
79.1%
ASCII
ValueCountFrequency (%)
1161
18.9%
) 605
 
9.9%
( 605
 
9.9%
e 201
 
3.3%
2 197
 
3.2%
5 166
 
2.7%
E 145
 
2.4%
o 129
 
2.1%
C 127
 
2.1%
1 120
 
2.0%
Other values (65) 2681
43.7%
None
ValueCountFrequency (%)
· 4
57.1%
3
42.9%
CJK
ValueCountFrequency (%)
2
 
11.8%
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%
Hiragana
ValueCountFrequency (%)
2
50.0%
2
50.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct6914
Distinct (%)97.2%
Missing55
Missing (%)0.8%
Memory size56.1 KiB
2023-12-13T00:31:49.996446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length65
Mean length31.639393
Min length19

Characters and Unicode

Total characters225051
Distinct characters408
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6739 ?
Unique (%)94.7%

Sample

1st row경상남도 진주시 서장대로 291 (이현동)
2nd row경상남도 진주시 진양호로 569 (장대동,1층)
3rd row경상남도 진주시 진주대로953번길 16, 1층 일부 (강남동)
4th row경상남도 진주시 중앙시장길 29-5, 중앙시장가제하3구98,99,100호 1층일부 (대안동)
5th row경상남도 진주시 남강로 712 (장대동,1층)
ValueCountFrequency (%)
경상남도 7113
 
16.0%
진주시 7113
 
16.0%
1층 2495
 
5.6%
1층일부 1508
 
3.4%
일부 1102
 
2.5%
충무공동 588
 
1.3%
평거동 563
 
1.3%
하대동 426
 
1.0%
가좌동 390
 
0.9%
상대동 372
 
0.8%
Other values (3720) 22682
51.1%
2023-12-13T00:31:50.571729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37345
 
16.6%
1 13711
 
6.1%
8807
 
3.9%
8419
 
3.7%
8258
 
3.7%
7713
 
3.4%
7687
 
3.4%
7601
 
3.4%
) 7457
 
3.3%
( 7454
 
3.3%
Other values (398) 110599
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126558
56.2%
Space Separator 37345
 
16.6%
Decimal Number 36902
 
16.4%
Close Punctuation 7457
 
3.3%
Open Punctuation 7454
 
3.3%
Other Punctuation 7008
 
3.1%
Dash Punctuation 1996
 
0.9%
Uppercase Letter 271
 
0.1%
Lowercase Letter 41
 
< 0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8807
 
7.0%
8419
 
6.7%
8258
 
6.5%
7713
 
6.1%
7687
 
6.1%
7601
 
6.0%
7375
 
5.8%
7360
 
5.8%
6392
 
5.1%
6213
 
4.9%
Other values (347) 50733
40.1%
Uppercase Letter
ValueCountFrequency (%)
A 53
19.6%
B 41
15.1%
S 32
11.8%
C 29
10.7%
M 17
 
6.3%
Y 12
 
4.4%
H 12
 
4.4%
Z 11
 
4.1%
U 11
 
4.1%
N 8
 
3.0%
Other values (10) 45
16.6%
Lowercase Letter
ValueCountFrequency (%)
y 9
22.0%
t 8
19.5%
i 8
19.5%
s 3
 
7.3%
r 2
 
4.9%
a 2
 
4.9%
u 2
 
4.9%
o 2
 
4.9%
d 1
 
2.4%
k 1
 
2.4%
Other values (3) 3
 
7.3%
Decimal Number
ValueCountFrequency (%)
1 13711
37.2%
2 4883
 
13.2%
0 3110
 
8.4%
3 2726
 
7.4%
5 2421
 
6.6%
4 2393
 
6.5%
6 2153
 
5.8%
9 1904
 
5.2%
7 1856
 
5.0%
8 1745
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 6948
99.1%
. 54
 
0.8%
@ 6
 
0.1%
Space Separator
ValueCountFrequency (%)
37345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1996
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126558
56.2%
Common 98181
43.6%
Latin 312
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8807
 
7.0%
8419
 
6.7%
8258
 
6.5%
7713
 
6.1%
7687
 
6.1%
7601
 
6.0%
7375
 
5.8%
7360
 
5.8%
6392
 
5.1%
6213
 
4.9%
Other values (347) 50733
40.1%
Latin
ValueCountFrequency (%)
A 53
17.0%
B 41
13.1%
S 32
 
10.3%
C 29
 
9.3%
M 17
 
5.4%
Y 12
 
3.8%
H 12
 
3.8%
Z 11
 
3.5%
U 11
 
3.5%
y 9
 
2.9%
Other values (23) 85
27.2%
Common
ValueCountFrequency (%)
37345
38.0%
1 13711
 
14.0%
) 7457
 
7.6%
( 7454
 
7.6%
, 6948
 
7.1%
2 4883
 
5.0%
0 3110
 
3.2%
3 2726
 
2.8%
5 2421
 
2.5%
4 2393
 
2.4%
Other values (8) 9733
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126558
56.2%
ASCII 98493
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37345
37.9%
1 13711
 
13.9%
) 7457
 
7.6%
( 7454
 
7.6%
, 6948
 
7.1%
2 4883
 
5.0%
0 3110
 
3.2%
3 2726
 
2.8%
5 2421
 
2.5%
4 2393
 
2.4%
Other values (41) 10045
 
10.2%
Hangul
ValueCountFrequency (%)
8807
 
7.0%
8419
 
6.7%
8258
 
6.5%
7713
 
6.1%
7687
 
6.1%
7601
 
6.0%
7375
 
5.8%
7360
 
5.8%
6392
 
5.1%
6213
 
4.9%
Other values (347) 50733
40.1%
Distinct6833
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
2023-12-13T00:31:51.045547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length68
Mean length25.515346
Min length15

Characters and Unicode

Total characters182894
Distinct characters396
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6552 ?
Unique (%)91.4%

Sample

1st row경상남도 진주시 이현동 16-23
2nd row경상남도 진주시 장대동 126-3 1층
3rd row경상남도 진주시 강남동 130-20 1층 일부
4th row경상남도 진주시 대안동 8-170 8-170/8-171/8-174중앙시장가제하3구98,99,100호 1층일부
5th row경상남도 진주시 장대동 96-1 1층
ValueCountFrequency (%)
경상남도 7168
18.7%
진주시 7168
18.7%
1층 2433
 
6.3%
1층일부 1432
 
3.7%
일부 938
 
2.4%
평거동 744
 
1.9%
하대동 635
 
1.7%
충무공동 590
 
1.5%
상대동 537
 
1.4%
가좌동 488
 
1.3%
Other values (6037) 16235
42.3%
2023-12-13T00:31:51.688843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38083
20.8%
1 12533
 
6.9%
8437
 
4.6%
7510
 
4.1%
7403
 
4.0%
7365
 
4.0%
7314
 
4.0%
7313
 
4.0%
7232
 
4.0%
6846
 
3.7%
Other values (386) 72858
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96651
52.8%
Decimal Number 39346
21.5%
Space Separator 38083
 
20.8%
Dash Punctuation 6414
 
3.5%
Open Punctuation 838
 
0.5%
Close Punctuation 837
 
0.5%
Other Punctuation 414
 
0.2%
Uppercase Letter 254
 
0.1%
Lowercase Letter 41
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8437
 
8.7%
7510
 
7.8%
7403
 
7.7%
7365
 
7.6%
7314
 
7.6%
7313
 
7.6%
7232
 
7.5%
6846
 
7.1%
5172
 
5.4%
2963
 
3.1%
Other values (334) 29096
30.1%
Uppercase Letter
ValueCountFrequency (%)
A 47
18.5%
B 43
16.9%
S 29
11.4%
C 28
11.0%
M 15
 
5.9%
Y 12
 
4.7%
H 12
 
4.7%
U 11
 
4.3%
Z 9
 
3.5%
N 8
 
3.1%
Other values (10) 40
15.7%
Lowercase Letter
ValueCountFrequency (%)
y 9
22.0%
i 8
19.5%
t 8
19.5%
s 3
 
7.3%
r 2
 
4.9%
u 2
 
4.9%
o 2
 
4.9%
a 2
 
4.9%
k 1
 
2.4%
d 1
 
2.4%
Other values (3) 3
 
7.3%
Decimal Number
ValueCountFrequency (%)
1 12533
31.9%
2 5105
13.0%
3 3502
 
8.9%
0 3194
 
8.1%
4 3099
 
7.9%
7 2600
 
6.6%
8 2505
 
6.4%
6 2308
 
5.9%
9 2267
 
5.8%
5 2233
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 353
85.3%
. 51
 
12.3%
@ 7
 
1.7%
/ 3
 
0.7%
Space Separator
ValueCountFrequency (%)
38083
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6414
100.0%
Open Punctuation
ValueCountFrequency (%)
( 838
100.0%
Close Punctuation
ValueCountFrequency (%)
) 837
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96651
52.8%
Common 85948
47.0%
Latin 295
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8437
 
8.7%
7510
 
7.8%
7403
 
7.7%
7365
 
7.6%
7314
 
7.6%
7313
 
7.6%
7232
 
7.5%
6846
 
7.1%
5172
 
5.4%
2963
 
3.1%
Other values (334) 29096
30.1%
Latin
ValueCountFrequency (%)
A 47
15.9%
B 43
14.6%
S 29
 
9.8%
C 28
 
9.5%
M 15
 
5.1%
Y 12
 
4.1%
H 12
 
4.1%
U 11
 
3.7%
y 9
 
3.1%
Z 9
 
3.1%
Other values (23) 80
27.1%
Common
ValueCountFrequency (%)
38083
44.3%
1 12533
 
14.6%
- 6414
 
7.5%
2 5105
 
5.9%
3 3502
 
4.1%
0 3194
 
3.7%
4 3099
 
3.6%
7 2600
 
3.0%
8 2505
 
2.9%
6 2308
 
2.7%
Other values (9) 6605
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96651
52.8%
ASCII 86243
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38083
44.2%
1 12533
 
14.5%
- 6414
 
7.4%
2 5105
 
5.9%
3 3502
 
4.1%
0 3194
 
3.7%
4 3099
 
3.6%
7 2600
 
3.0%
8 2505
 
2.9%
6 2308
 
2.7%
Other values (42) 6900
 
8.0%
Hangul
ValueCountFrequency (%)
8437
 
8.7%
7510
 
7.8%
7403
 
7.7%
7365
 
7.6%
7314
 
7.6%
7313
 
7.6%
7232
 
7.5%
6846
 
7.1%
5172
 
5.4%
2963
 
3.1%
Other values (334) 29096
30.1%

전화번호
Text

MISSING 

Distinct3388
Distinct (%)97.2%
Missing3681
Missing (%)51.4%
Memory size56.1 KiB
2023-12-13T00:31:52.006181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.014052
Min length8

Characters and Unicode

Total characters41893
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

Unique3309 ?
Unique (%)94.9%

Sample

1st row055-747-7289
2nd row055-741-1087
3rd row055-752-8860
4th row055-741-1410
5th row055-755-1961
ValueCountFrequency (%)
055-747-0179 8
 
0.2%
055-759-3205 6
 
0.2%
055-761-2820 5
 
0.1%
055-746-1006 4
 
0.1%
02-3284-8116 4
 
0.1%
055-747-1950 3
 
0.1%
055-758-5971 3
 
0.1%
055-744-6088 3
 
0.1%
055-754-4168 2
 
0.1%
055-759-0007 2
 
0.1%
Other values (3378) 3447
98.9%
2023-12-13T00:31:52.424027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10106
24.1%
- 6974
16.6%
0 5291
12.6%
7 5218
12.5%
4 2676
 
6.4%
2 2262
 
5.4%
6 2110
 
5.0%
8 1926
 
4.6%
3 1917
 
4.6%
1 1720
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34919
83.4%
Dash Punctuation 6974
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10106
28.9%
0 5291
15.2%
7 5218
14.9%
4 2676
 
7.7%
2 2262
 
6.5%
6 2110
 
6.0%
8 1926
 
5.5%
3 1917
 
5.5%
1 1720
 
4.9%
9 1693
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 6974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10106
24.1%
- 6974
16.6%
0 5291
12.6%
7 5218
12.5%
4 2676
 
6.4%
2 2262
 
5.4%
6 2110
 
5.0%
8 1926
 
4.6%
3 1917
 
4.6%
1 1720
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10106
24.1%
- 6974
16.6%
0 5291
12.6%
7 5218
12.5%
4 2676
 
6.4%
2 2262
 
5.4%
6 2110
 
5.0%
8 1926
 
4.6%
3 1917
 
4.6%
1 1720
 
4.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
Minimum2023-09-06 00:00:00
Maximum2023-09-06 00:00:00
2023-12-13T00:31:52.543705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:31:52.662238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:31:47.434990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T00:31:47.627197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:31:47.822009image/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.
2023-12-13T00:31:47.953340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시도시군구업소명소재지도로명주소소재지지번주소전화번호데이터기준일
01경상남도진주시효성반점경상남도 진주시 서장대로 291 (이현동)경상남도 진주시 이현동 16-23055-747-72892023-09-06
12경상남도진주시태양순대분식센터경상남도 진주시 진양호로 569 (장대동,1층)경상남도 진주시 장대동 126-3 1층055-741-10872023-09-06
23경상남도진주시마라도횟집경상남도 진주시 진주대로953번길 16, 1층 일부 (강남동)경상남도 진주시 강남동 130-20 1층 일부055-752-88602023-09-06
34경상남도진주시하동복집경상남도 진주시 중앙시장길 29-5, 중앙시장가제하3구98,99,100호 1층일부 (대안동)경상남도 진주시 대안동 8-170 8-170/8-171/8-174중앙시장가제하3구98,99,100호 1층일부055-741-14102023-09-06
45경상남도진주시구내식당경상남도 진주시 남강로 712 (장대동,1층)경상남도 진주시 장대동 96-1 1층<NA>2023-09-06
56경상남도진주시수연식당경상남도 진주시 진주대로915번길 13-1 (강남동)경상남도 진주시 강남동 245-80055-755-19612023-09-06
67경상남도진주시제일식당경상남도 진주시 문산읍 월아산로 1076-1경상남도 진주시 문산읍 삼곡리 1244055-761-62442023-09-06
78경상남도진주시광주식당경상남도 진주시 진성면 동부로1345번길 23 (번지(1층))경상남도 진주시 진성면 상촌리 153-5 번지(1층)055-754-30812023-09-06
89경상남도진주시한주반점경상남도 진주시 강남로95번길 7-6 (칠암동)경상남도 진주시 칠암동 96-1055-758-82082023-09-06
910경상남도진주시서울설렁탕경상남도 진주시 남강로659번길 13-2, 1,2층 (본성동)경상남도 진주시 본성동 1-4055-745-60042023-09-06
연번시도시군구업소명소재지도로명주소소재지지번주소전화번호데이터기준일
71587159경상남도진주시루치아노포포로티(Luciano Poporotti)경상남도 진주시 범골로37번길 2, 1층일부 (충무공동)경상남도 진주시 충무공동 54-12 1층일부<NA>2023-09-06
71597160경상남도진주시옛날꽈배기경상남도 진주시 창렬로 122, 1층 일부 (상봉동)경상남도 진주시 상봉동 1091-6<NA>2023-09-06
71607161경상남도진주시카앤커피경상남도 진주시 남강로 463, 1층일부 (신안동)경상남도 진주시 신안동 34-35 1층일부<NA>2023-09-06
71617162경상남도진주시커피하우스경상남도 진주시 이반성면 수목원로 386, 카페테리아경상남도 진주시 이반성면 대천리 530-1 카페테리아<NA>2023-09-06
71627163경상남도진주시달콤왕가탕후루 (DALKOM王家탕후루) 평거점경상남도 진주시 순환로 529, 101호 (평거동)경상남도 진주시 평거동 906<NA>2023-09-06
71637164경상남도진주시애플망고 진주초장점경상남도 진주시 진산로 263, 1층 (장재동)경상남도 진주시 장재동 387-10<NA>2023-09-06
71647165경상남도진주시만월다과경상남도 진주시 동진로 110, 1층 (상대동)경상남도 진주시 상대동 296-52<NA>2023-09-06
71657166경상남도진주시배틀스타블랙피씨방경상남도 진주시 솔밭로 95, 3층일부 (상평동)경상남도 진주시 상평동 270-4 3층일부<NA>2023-09-06
71667167경상남도진주시빽다방 진주충무공점경상남도 진주시 에나로 75, 107호 (충무공동)경상남도 진주시 충무공동 22-14<NA>2023-09-06
71677168경상남도진주시지에스25 (GS25) 혁신프라임점경상남도 진주시 소호로19번길 11, 상가에이동동 101(일부)호 (충무공동, 진주혁신도시 중흥에스-클래스 더프라임)경상남도 진주시 충무공동 90 진주혁신도시 중흥에스-클래스 더프라임<NA>2023-09-06