Overview

Dataset statistics

Number of variables7
Number of observations3818
Missing cells1654
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory212.7 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description익산시 관내읍면동의 일반음식점, 휴게음식점,다방,커피숍,제과점,피자,치킨의 업종명, 업소명, 도로명주소, 지번 주소, 면적, 전화번호 등의 데이터를 제공합니다.
Author전북특별자치도 익산시
URLhttps://www.data.go.kr/data/3079429/fileData.do

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 85 (2.2%) missing valuesMissing
소재지전화 has 1558 (40.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:16:53.841432
Analysis finished2024-03-15 00:16:56.598555
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3818
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1909.5
Minimum1
Maximum3818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-03-15T09:16:56.829210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile191.85
Q1955.25
median1909.5
Q32863.75
95-th percentile3627.15
Maximum3818
Range3817
Interquartile range (IQR)1908.5

Descriptive statistics

Standard deviation1102.306
Coefficient of variation (CV)0.57727468
Kurtosis-1.2
Mean1909.5
Median Absolute Deviation (MAD)954.5
Skewness0
Sum7290471
Variance1215078.5
MonotonicityStrictly increasing
2024-03-15T09:16:57.335525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2551 1
 
< 0.1%
2539 1
 
< 0.1%
2540 1
 
< 0.1%
2541 1
 
< 0.1%
2542 1
 
< 0.1%
2543 1
 
< 0.1%
2544 1
 
< 0.1%
2545 1
 
< 0.1%
2546 1
 
< 0.1%
Other values (3808) 3808
99.7%
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 (%)
3818 1
< 0.1%
3817 1
< 0.1%
3816 1
< 0.1%
3815 1
< 0.1%
3814 1
< 0.1%
3813 1
< 0.1%
3812 1
< 0.1%
3811 1
< 0.1%
3810 1
< 0.1%
3809 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
일반음식점
3818 

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 3818
100.0%

Length

2024-03-15T09:16:57.737843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:16:57.901686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3818
100.0%

업소명
Text

Distinct3699
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
2024-03-15T09:16:59.463933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length6.1995809
Min length1

Characters and Unicode

Total characters23670
Distinct characters865
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3605 ?
Unique (%)94.4%

Sample

1st row길명반점
2nd row왕궁식당
3rd row진미맛사랑
4th row진미식당
5th row유명탕집
ValueCountFrequency (%)
익산점 74
 
1.5%
영등점 39
 
0.8%
원광대점 31
 
0.6%
익산모현점 27
 
0.5%
모현점 26
 
0.5%
익산영등점 22
 
0.4%
부송점 22
 
0.4%
익산부송점 19
 
0.4%
동산점 18
 
0.4%
익산 16
 
0.3%
Other values (4095) 4764
94.2%
2024-03-15T09:17:01.375759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1246
 
5.3%
점 809
 
3.4%
산 513
 
2.2%
이 363
 
1.5%
리 350
 
1.5%
식 342
 
1.4%
익 341
 
1.4%
) 319
 
1.3%
( 317
 
1.3%
가 301
 
1.3%
Other values (855) 18769
79.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20761
87.7%
Space Separator 1246
 
5.3%
Lowercase Letter 323
 
1.4%
Close Punctuation 319
 
1.3%
Open Punctuation 317
 
1.3%
Uppercase Letter 317
 
1.3%
Decimal Number 294
 
1.2%
Other Punctuation 88
 
0.4%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 809
 
3.9%
산 513
 
2.5%
이 363
 
1.7%
리 350
 
1.7%
식 342
 
1.6%
익 341
 
1.6%
가 301
 
1.4%
당 275
 
1.3%
마 245
 
1.2%
치 231
 
1.1%
Other values (780) 16991
81.8%
Uppercase Letter
ValueCountFrequency (%)
B 38
 
12.0%
O 29
 
9.1%
C 26
 
8.2%
A 26
 
8.2%
K 19
 
6.0%
H 15
 
4.7%
N 14
 
4.4%
E 14
 
4.4%
R 13
 
4.1%
M 13
 
4.1%
Other values (15) 110
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 42
13.0%
a 34
 
10.5%
o 28
 
8.7%
i 23
 
7.1%
s 20
 
6.2%
r 19
 
5.9%
c 16
 
5.0%
n 16
 
5.0%
u 15
 
4.6%
l 14
 
4.3%
Other values (14) 96
29.7%
Decimal Number
ValueCountFrequency (%)
1 77
26.2%
2 65
22.1%
9 37
12.6%
3 20
 
6.8%
8 20
 
6.8%
4 19
 
6.5%
5 18
 
6.1%
0 18
 
6.1%
6 12
 
4.1%
7 8
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 45
51.1%
. 20
22.7%
? 5
 
5.7%
, 5
 
5.7%
! 5
 
5.7%
· 3
 
3.4%
' 2
 
2.3%
: 1
 
1.1%
/ 1
 
1.1%
@ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 319
100.0%
Open Punctuation
ValueCountFrequency (%)
( 317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20740
87.6%
Common 2269
 
9.6%
Latin 640
 
2.7%
Han 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 809
 
3.9%
산 513
 
2.5%
이 363
 
1.8%
리 350
 
1.7%
식 342
 
1.6%
익 341
 
1.6%
가 301
 
1.5%
당 275
 
1.3%
마 245
 
1.2%
치 231
 
1.1%
Other values (763) 16970
81.8%
Latin
ValueCountFrequency (%)
e 42
 
6.6%
B 38
 
5.9%
a 34
 
5.3%
O 29
 
4.5%
o 28
 
4.4%
C 26
 
4.1%
A 26
 
4.1%
i 23
 
3.6%
s 20
 
3.1%
K 19
 
3.0%
Other values (39) 355
55.5%
Common
ValueCountFrequency (%)
1246
54.9%
) 319
 
14.1%
( 317
 
14.0%
1 77
 
3.4%
2 65
 
2.9%
& 45
 
2.0%
9 37
 
1.6%
3 20
 
0.9%
8 20
 
0.9%
. 20
 
0.9%
Other values (16) 103
 
4.5%
Han
ValueCountFrequency (%)
多 3
14.3%
愛 2
 
9.5%
辛 2
 
9.5%
賢 1
 
4.8%
高 1
 
4.8%
手 1
 
4.8%
食 1
 
4.8%
好 1
 
4.8%
味 1
 
4.8%
百 1
 
4.8%
Other values (7) 7
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20740
87.6%
ASCII 2906
 
12.3%
CJK 21
 
0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1246
42.9%
) 319
 
11.0%
( 317
 
10.9%
1 77
 
2.6%
2 65
 
2.2%
& 45
 
1.5%
e 42
 
1.4%
B 38
 
1.3%
9 37
 
1.3%
a 34
 
1.2%
Other values (64) 686
23.6%
Hangul
ValueCountFrequency (%)
점 809
 
3.9%
산 513
 
2.5%
이 363
 
1.8%
리 350
 
1.7%
식 342
 
1.6%
익 341
 
1.6%
가 301
 
1.5%
당 275
 
1.3%
마 245
 
1.2%
치 231
 
1.1%
Other values (763) 16970
81.8%
CJK
ValueCountFrequency (%)
多 3
14.3%
愛 2
 
9.5%
辛 2
 
9.5%
賢 1
 
4.8%
高 1
 
4.8%
手 1
 
4.8%
食 1
 
4.8%
好 1
 
4.8%
味 1
 
4.8%
百 1
 
4.8%
Other values (7) 7
33.3%
None
ValueCountFrequency (%)
· 3
100.0%

소재지(도로명)
Text

MISSING 

Distinct3480
Distinct (%)93.2%
Missing85
Missing (%)2.2%
Memory size30.0 KiB
2024-03-15T09:17:02.592956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length59
Mean length31.803911
Min length21

Characters and Unicode

Total characters118724
Distinct characters341
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

Unique3251 ?
Unique (%)87.1%

Sample

1st row전북특별자치도 익산시 인북로22길 17-1 (남중동,(1층))
2nd row전북특별자치도 익산시 왕궁면 흥암1길 3 ((1층))
3rd row전북특별자치도 익산시 용안면 현내로 414-12 ((1층))
4th row전북특별자치도 익산시 황등면 황등로 158, 1층
5th row전북특별자치도 익산시 춘포면 춘포2길 5 ((1층))
ValueCountFrequency (%)
익산시 3738
 
17.3%
전북특별자치도 3733
 
17.2%
1층 1664
 
7.7%
영등동 383
 
1.8%
모현동1가 353
 
1.6%
신동 266
 
1.2%
영등동,(1층 221
 
1.0%
부송동 212
 
1.0%
어양동 174
 
0.8%
2층 144
 
0.7%
Other values (2170) 10759
49.7%
2024-03-15T09:17:04.244401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17917
 
15.1%
1 7124
 
6.0%
( 4676
 
3.9%
) 4675
 
3.9%
산 4441
 
3.7%
동 4384
 
3.7%
익 4056
 
3.4%
북 3941
 
3.3%
시 3788
 
3.2%
도 3758
 
3.2%
Other values (331) 59964
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68559
57.7%
Decimal Number 18634
 
15.7%
Space Separator 17917
 
15.1%
Open Punctuation 4676
 
3.9%
Close Punctuation 4675
 
3.9%
Other Punctuation 3203
 
2.7%
Dash Punctuation 1020
 
0.9%
Math Symbol 24
 
< 0.1%
Uppercase Letter 11
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4441
 
6.5%
동 4384
 
6.4%
익 4056
 
5.9%
북 3941
 
5.7%
시 3788
 
5.5%
도 3758
 
5.5%
전 3743
 
5.5%
자 3737
 
5.5%
치 3735
 
5.4%
별 3733
 
5.4%
Other values (304) 29243
42.7%
Decimal Number
ValueCountFrequency (%)
1 7124
38.2%
2 2312
 
12.4%
3 1784
 
9.6%
4 1363
 
7.3%
0 1202
 
6.5%
5 1127
 
6.0%
6 1046
 
5.6%
8 924
 
5.0%
7 921
 
4.9%
9 831
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 3169
98.9%
@ 26
 
0.8%
. 6
 
0.2%
/ 1
 
< 0.1%
: 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
A 3
27.3%
K 1
 
9.1%
S 1
 
9.1%
E 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
a 1
 
20.0%
Space Separator
ValueCountFrequency (%)
17917
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4676
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1020
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68559
57.7%
Common 50149
42.2%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4441
 
6.5%
동 4384
 
6.4%
익 4056
 
5.9%
북 3941
 
5.7%
시 3788
 
5.5%
도 3758
 
5.5%
전 3743
 
5.5%
자 3737
 
5.5%
치 3735
 
5.4%
별 3733
 
5.4%
Other values (304) 29243
42.7%
Common
ValueCountFrequency (%)
17917
35.7%
1 7124
 
14.2%
( 4676
 
9.3%
) 4675
 
9.3%
, 3169
 
6.3%
2 2312
 
4.6%
3 1784
 
3.6%
4 1363
 
2.7%
0 1202
 
2.4%
5 1127
 
2.2%
Other values (10) 4800
 
9.6%
Latin
ValueCountFrequency (%)
B 5
31.2%
e 4
25.0%
A 3
18.8%
a 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68559
57.7%
ASCII 50165
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17917
35.7%
1 7124
 
14.2%
( 4676
 
9.3%
) 4675
 
9.3%
, 3169
 
6.3%
2 2312
 
4.6%
3 1784
 
3.6%
4 1363
 
2.7%
0 1202
 
2.4%
5 1127
 
2.2%
Other values (17) 4816
 
9.6%
Hangul
ValueCountFrequency (%)
산 4441
 
6.5%
동 4384
 
6.4%
익 4056
 
5.9%
북 3941
 
5.7%
시 3788
 
5.5%
도 3758
 
5.5%
전 3743
 
5.5%
자 3737
 
5.5%
치 3735
 
5.4%
별 3733
 
5.4%
Other values (304) 29243
42.7%

소재지(지번)
Text

Distinct3500
Distinct (%)91.9%
Missing11
Missing (%)0.3%
Memory size30.0 KiB
2024-03-15T09:17:05.760059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length55
Mean length26.955345
Min length18

Characters and Unicode

Total characters102619
Distinct characters322
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

Unique3244 ?
Unique (%)85.2%

Sample

1st row전북특별자치도 익산시 남중동 137 (1층)
2nd row전북특별자치도 익산시 왕궁면 흥암리 411-4 (1층)
3rd row전북특별자치도 익산시 용안면 교동리 187-12 (1층)
4th row전북특별자치도 익산시 황등면 황등리 902
5th row전북특별자치도 익산시 춘포면 춘포리 33-5 (1층)
ValueCountFrequency (%)
익산시 3812
19.9%
전북특별자치도 3807
19.9%
1층 1933
 
10.1%
영등동 646
 
3.4%
모현동1가 412
 
2.2%
신동 406
 
2.1%
부송동 299
 
1.6%
어양동 278
 
1.5%
남중동 207
 
1.1%
마동 185
 
1.0%
Other values (3289) 7157
37.4%
2024-03-15T09:17:07.810462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18930
18.4%
1 6126
 
6.0%
산 4190
 
4.1%
도 3883
 
3.8%
시 3859
 
3.8%
익 3832
 
3.7%
전 3813
 
3.7%
북 3812
 
3.7%
자 3811
 
3.7%
치 3808
 
3.7%
Other values (312) 46555
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56658
55.2%
Decimal Number 20643
 
20.1%
Space Separator 18930
 
18.4%
Dash Punctuation 3318
 
3.2%
Close Punctuation 1437
 
1.4%
Open Punctuation 1437
 
1.4%
Other Punctuation 156
 
0.2%
Math Symbol 20
 
< 0.1%
Uppercase Letter 15
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4190
 
7.4%
도 3883
 
6.9%
시 3859
 
6.8%
익 3832
 
6.8%
전 3813
 
6.7%
북 3812
 
6.7%
자 3811
 
6.7%
치 3808
 
6.7%
별 3807
 
6.7%
특 3807
 
6.7%
Other values (279) 18036
31.8%
Decimal Number
ValueCountFrequency (%)
1 6126
29.7%
2 2263
 
11.0%
3 1857
 
9.0%
6 1634
 
7.9%
8 1593
 
7.7%
4 1572
 
7.6%
0 1567
 
7.6%
7 1535
 
7.4%
5 1504
 
7.3%
9 992
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
26.7%
P 2
13.3%
T 2
13.3%
B 2
13.3%
G 1
 
6.7%
Y 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
E 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 140
89.7%
. 7
 
4.5%
@ 5
 
3.2%
/ 3
 
1.9%
: 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
r 1
20.0%
a 1
20.0%
b 1
20.0%
Space Separator
ValueCountFrequency (%)
18930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1437
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1437
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56658
55.2%
Common 45941
44.8%
Latin 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4190
 
7.4%
도 3883
 
6.9%
시 3859
 
6.8%
익 3832
 
6.8%
전 3813
 
6.7%
북 3812
 
6.7%
자 3811
 
6.7%
치 3808
 
6.7%
별 3807
 
6.7%
특 3807
 
6.7%
Other values (279) 18036
31.8%
Common
ValueCountFrequency (%)
18930
41.2%
1 6126
 
13.3%
- 3318
 
7.2%
2 2263
 
4.9%
3 1857
 
4.0%
6 1634
 
3.6%
8 1593
 
3.5%
4 1572
 
3.4%
0 1567
 
3.4%
7 1535
 
3.3%
Other values (10) 5546
 
12.1%
Latin
ValueCountFrequency (%)
A 4
20.0%
P 2
10.0%
e 2
10.0%
T 2
10.0%
B 2
10.0%
G 1
 
5.0%
Y 1
 
5.0%
r 1
 
5.0%
a 1
 
5.0%
b 1
 
5.0%
Other values (3) 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56658
55.2%
ASCII 45961
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18930
41.2%
1 6126
 
13.3%
- 3318
 
7.2%
2 2263
 
4.9%
3 1857
 
4.0%
6 1634
 
3.6%
8 1593
 
3.5%
4 1572
 
3.4%
0 1567
 
3.4%
7 1535
 
3.3%
Other values (23) 5566
 
12.1%
Hangul
ValueCountFrequency (%)
산 4190
 
7.4%
도 3883
 
6.9%
시 3859
 
6.8%
익 3832
 
6.8%
전 3813
 
6.7%
북 3812
 
6.7%
자 3811
 
6.7%
치 3808
 
6.7%
별 3807
 
6.7%
특 3807
 
6.7%
Other values (279) 18036
31.8%

영업장면적(건물내부와 건물외부)
Text

Distinct2852
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size30.0 KiB
2024-03-15T09:17:10.373860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.4900471
Min length1

Characters and Unicode

Total characters17143
Distinct characters12
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

Unique2462 ?
Unique (%)64.5%

Sample

1st row111.68
2nd row24
3rd row113.72
4th row21
5th row246
ValueCountFrequency (%)
0 24
 
0.6%
37 19
 
0.5%
24 19
 
0.5%
31 18
 
0.5%
45 18
 
0.5%
23 17
 
0.4%
30 16
 
0.4%
44 16
 
0.4%
28 15
 
0.4%
63 13
 
0.3%
Other values (2842) 3643
95.4%
2024-03-15T09:17:12.185347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2935
17.1%
1 2054
12.0%
2 1677
9.8%
3 1574
9.2%
4 1510
8.8%
5 1409
8.2%
6 1378
8.0%
8 1315
7.7%
7 1230
7.2%
9 1200
7.0%
Other values (2) 861
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14196
82.8%
Other Punctuation 2947
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2054
14.5%
2 1677
11.8%
3 1574
11.1%
4 1510
10.6%
5 1409
9.9%
6 1378
9.7%
8 1315
9.3%
7 1230
8.7%
9 1200
8.5%
0 849
6.0%
Other Punctuation
ValueCountFrequency (%)
. 2935
99.6%
, 12
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 17143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2935
17.1%
1 2054
12.0%
2 1677
9.8%
3 1574
9.2%
4 1510
8.8%
5 1409
8.2%
6 1378
8.0%
8 1315
7.7%
7 1230
7.2%
9 1200
7.0%
Other values (2) 861
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2935
17.1%
1 2054
12.0%
2 1677
9.8%
3 1574
9.2%
4 1510
8.8%
5 1409
8.2%
6 1378
8.0%
8 1315
7.7%
7 1230
7.2%
9 1200
7.0%
Other values (2) 861
 
5.0%

소재지전화
Text

MISSING 

Distinct2207
Distinct (%)97.7%
Missing1558
Missing (%)40.8%
Memory size30.0 KiB
2024-03-15T09:17:13.650412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.017699
Min length9

Characters and Unicode

Total characters27160
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

Unique2158 ?
Unique (%)95.5%

Sample

1st row063-855-3368
2nd row063-832-4038
3rd row063-861-4046
4th row063-856-4422
5th row063-842-7520
ValueCountFrequency (%)
063-835-2521 4
 
0.2%
063-832-9350 3
 
0.1%
063-836-5280 3
 
0.1%
063-843-4566 2
 
0.1%
063-838-9009 2
 
0.1%
063-834-2588 2
 
0.1%
063-831-0653 2
 
0.1%
063-837-9951 2
 
0.1%
063-834-9437 2
 
0.1%
063-842-7111 2
 
0.1%
Other values (2197) 2236
98.9%
2024-03-15T09:17:14.999546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4519
16.6%
3 4354
16.0%
0 3478
12.8%
8 3388
12.5%
6 3334
12.3%
5 2106
7.8%
2 1426
 
5.3%
1 1316
 
4.8%
4 1157
 
4.3%
7 1091
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22641
83.4%
Dash Punctuation 4519
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4354
19.2%
0 3478
15.4%
8 3388
15.0%
6 3334
14.7%
5 2106
9.3%
2 1426
 
6.3%
1 1316
 
5.8%
4 1157
 
5.1%
7 1091
 
4.8%
9 991
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 4519
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4519
16.6%
3 4354
16.0%
0 3478
12.8%
8 3388
12.5%
6 3334
12.3%
5 2106
7.8%
2 1426
 
5.3%
1 1316
 
4.8%
4 1157
 
4.3%
7 1091
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4519
16.6%
3 4354
16.0%
0 3478
12.8%
8 3388
12.5%
6 3334
12.3%
5 2106
7.8%
2 1426
 
5.3%
1 1316
 
4.8%
4 1157
 
4.3%
7 1091
 
4.0%

Interactions

2024-03-15T09:16:55.335788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T09:16:55.715586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:16:56.134756image/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.
2024-03-15T09:16:56.449758image/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

번호업종명업소명소재지(도로명)소재지(지번)영업장면적(건물내부와 건물외부)소재지전화
01일반음식점길명반점전북특별자치도 익산시 인북로22길 17-1 (남중동,(1층))전북특별자치도 익산시 남중동 137 (1층)111.68063-855-3368
12일반음식점왕궁식당전북특별자치도 익산시 왕궁면 흥암1길 3 ((1층))전북특별자치도 익산시 왕궁면 흥암리 411-4 (1층)24063-832-4038
23일반음식점진미맛사랑전북특별자치도 익산시 용안면 현내로 414-12 ((1층))전북특별자치도 익산시 용안면 교동리 187-12 (1층)113.72063-861-4046
34일반음식점진미식당전북특별자치도 익산시 황등면 황등로 158, 1층전북특별자치도 익산시 황등면 황등리 90221063-856-4422
45일반음식점유명탕집전북특별자치도 익산시 춘포면 춘포2길 5 ((1층))전북특별자치도 익산시 춘포면 춘포리 33-5 (1층)246063-842-7520
56일반음식점삼기반점전북특별자치도 익산시 삼기면 황금로 506 ((1층))전북특별자치도 익산시 삼기면 간촌리 147-92 (1층)81.84063-858-8006
67일반음식점영동집<NA>전북특별자치도 익산시 창인동1가 156 (1층)0<NA>
78일반음식점수도집<NA>전북특별자치도 익산시 창인동1가 136 (1층)0063-852-6175
89일반음식점다락방식당전북특별자치도 익산시 중앙로 22-96, 1, 2층 (중앙동1가)전북특별자치도 익산시 중앙동1가 8599.37063-841-2700
910일반음식점신생반점전북특별자치도 익산시 중앙로 12-47 (중앙동2가)전북특별자치도 익산시 중앙동2가 41182.21063-855-1533
번호업종명업소명소재지(도로명)소재지(지번)영업장면적(건물내부와 건물외부)소재지전화
38083809일반음식점소담가전북특별자치도 익산시 부송로 64-19, 1층 (부송동)전북특별자치도 익산시 부송동 1039-1640.56<NA>
38093810일반음식점산청전북특별자치도 익산시 왕궁면 우주로 13전북특별자치도 익산시 왕궁면 온수리 54273.18<NA>
38103811일반음식점금은빵전북특별자치도 익산시 평동로11길 34-1, 1층 (인화동1가)전북특별자치도 익산시 인화동1가 104-238.08070-8277-917
38113812일반음식점생활맥주 원광대점전북특별자치도 익산시 익산대로68길 32, 1층 (신동)전북특별자치도 익산시 신동 796-164.11<NA>
38123813일반음식점명가 함지박전북특별자치도 익산시 함열읍 함열로 12, 1층전북특별자치도 익산시 함열읍 와리 656-187.94<NA>
38133814일반음식점금탑가맥전북특별자치도 익산시 무왕로6길 16, 금탑원룸 1층 (신동)전북특별자치도 익산시 신동 768-9 금탑원룸31.89<NA>
38143815일반음식점아조씨네 닭꼬치전북특별자치도 익산시 무왕로 858, 2층 (신동)전북특별자치도 익산시 신동 760-950.57<NA>
38153816일반음식점추억닭발 원광대점전북특별자치도 익산시 무왕로 898-1, 2층 (신동)전북특별자치도 익산시 신동 763-6113.61<NA>
38163817일반음식점돼지콩이전북특별자치도 익산시 익산대로76길 106 (신용동)전북특별자치도 익산시 신용동 55-148.23<NA>
38173818일반음식점익산영등상권상인회전북특별자치도 익산시 고봉로32길 42, 일원 (영등동)전북특별자치도 익산시 영등동 835-29<NA>