Overview

Dataset statistics

Number of variables9
Number of observations5060
Missing cells1432
Missing cells (%)3.1%
Duplicate rows468
Duplicate rows (%)9.2%
Total size in memory360.9 KiB
Average record size in memory73.0 B

Variable types

Categorical4
Text4
Numeric1

Dataset

Description충청북도 충주시 식품접객업소현황에 대한 데이터 제공(업종명, 업소명, 도로명 주소, 지번 주소, 영업장면적, 소재지 전화, 담당부서 등)
Author충청북도 충주시
URLhttps://www.data.go.kr/data/15050599/fileData.do

Alerts

자치단체명 has constant value ""Constant
담당부서 has constant value ""Constant
문의전화 has constant value ""Constant
Dataset has 468 (9.2%) duplicate rowsDuplicates
업종명 is highly imbalanced (59.5%)Imbalance
소재지전화 has 1380 (27.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:00:14.513429
Analysis finished2023-12-12 16:00:16.319064
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
충청북도 충주시
5060 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 충주시
2nd row충청북도 충주시
3rd row충청북도 충주시
4th row충청북도 충주시
5th row충청북도 충주시

Common Values

ValueCountFrequency (%)
충청북도 충주시 5060
100.0%

Length

2023-12-13T01:00:16.391765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:16.487439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 5060
50.0%
충주시 5060
50.0%

업종명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
일반음식점
3965 
휴게음식점
795 
유흥주점영업
 
125
위탁급식영업
 
76
제과점영업
 
60

Length

Max length6
Median length5
Mean length5.0320158
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3965
78.4%
휴게음식점 795
 
15.7%
유흥주점영업 125
 
2.5%
위탁급식영업 76
 
1.5%
제과점영업 60
 
1.2%
단란주점 39
 
0.8%

Length

2023-12-13T01:00:16.661048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:16.845737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3965
78.4%
휴게음식점 795
 
15.7%
유흥주점영업 125
 
2.5%
위탁급식영업 76
 
1.5%
제과점영업 60
 
1.2%
단란주점 39
 
0.8%

업소명
Text

Distinct4580
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
2023-12-13T01:00:17.168504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length6.8555336
Min length1

Characters and Unicode

Total characters34689
Distinct characters953
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4107 ?
Unique (%)81.2%

Sample

1st row평화루
2nd row신동양
3rd row염소탕집
4th row이호식당
5th row아주식당
ValueCountFrequency (%)
coffee 6
 
0.1%
주)엘에프에스 5
 
0.1%
충주연수점 4
 
0.1%
충주점 4
 
0.1%
페리카나양념통닭 4
 
0.1%
김밥천국 3
 
0.1%
솔밭식당 3
 
0.1%
salad 3
 
0.1%
the 3
 
0.1%
서충주점 3
 
0.1%
Other values (4727) 5223
99.3%
2023-12-13T01:00:17.738117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1304
 
3.8%
주 1090
 
3.1%
충 792
 
2.3%
이 637
 
1.8%
식 567
 
1.6%
수 516
 
1.5%
) 490
 
1.4%
( 489
 
1.4%
당 475
 
1.4%
스 447
 
1.3%
Other values (943) 27882
80.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30719
88.6%
Uppercase Letter 1186
 
3.4%
Lowercase Letter 909
 
2.6%
Decimal Number 559
 
1.6%
Close Punctuation 490
 
1.4%
Open Punctuation 489
 
1.4%
Space Separator 201
 
0.6%
Other Punctuation 129
 
0.4%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1304
 
4.2%
주 1090
 
3.5%
충 792
 
2.6%
이 637
 
2.1%
식 567
 
1.8%
수 516
 
1.7%
당 475
 
1.5%
스 447
 
1.5%
리 400
 
1.3%
가 394
 
1.3%
Other values (866) 24097
78.4%
Uppercase Letter
ValueCountFrequency (%)
C 132
 
11.1%
A 98
 
8.3%
S 84
 
7.1%
E 80
 
6.7%
O 77
 
6.5%
B 66
 
5.6%
G 65
 
5.5%
I 58
 
4.9%
T 57
 
4.8%
R 52
 
4.4%
Other values (16) 417
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 150
16.5%
a 90
 
9.9%
o 90
 
9.9%
n 56
 
6.2%
l 50
 
5.5%
f 49
 
5.4%
i 44
 
4.8%
r 42
 
4.6%
t 41
 
4.5%
s 40
 
4.4%
Other values (15) 257
28.3%
Decimal Number
ValueCountFrequency (%)
2 126
22.5%
1 107
19.1%
5 73
13.1%
9 51
9.1%
0 50
 
8.9%
4 41
 
7.3%
3 35
 
6.3%
7 31
 
5.5%
8 24
 
4.3%
6 21
 
3.8%
Other Punctuation
ValueCountFrequency (%)
& 69
53.5%
. 25
 
19.4%
, 15
 
11.6%
' 5
 
3.9%
# 4
 
3.1%
! 4
 
3.1%
· 2
 
1.6%
: 2
 
1.6%
/ 2
 
1.6%
＆ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 489
100.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30686
88.5%
Latin 2095
 
6.0%
Common 1875
 
5.4%
Han 25
 
0.1%
Hiragana 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1304
 
4.2%
주 1090
 
3.6%
충 792
 
2.6%
이 637
 
2.1%
식 567
 
1.8%
수 516
 
1.7%
당 475
 
1.5%
스 447
 
1.5%
리 400
 
1.3%
가 394
 
1.3%
Other values (840) 24064
78.4%
Latin
ValueCountFrequency (%)
e 150
 
7.2%
C 132
 
6.3%
A 98
 
4.7%
a 90
 
4.3%
o 90
 
4.3%
S 84
 
4.0%
E 80
 
3.8%
O 77
 
3.7%
B 66
 
3.2%
G 65
 
3.1%
Other values (41) 1163
55.5%
Common
ValueCountFrequency (%)
) 490
26.1%
( 489
26.1%
201
10.7%
2 126
 
6.7%
1 107
 
5.7%
5 73
 
3.9%
& 69
 
3.7%
9 51
 
2.7%
0 50
 
2.7%
4 41
 
2.2%
Other values (16) 178
 
9.5%
Han
ValueCountFrequency (%)
家 4
16.0%
津 2
 
8.0%
山 2
 
8.0%
味 2
 
8.0%
牛 1
 
4.0%
開 1
 
4.0%
花 1
 
4.0%
羊 1
 
4.0%
李 1
 
4.0%
樂 1
 
4.0%
Other values (9) 9
36.0%
Hiragana
ValueCountFrequency (%)
ま 2
25.0%
よ 1
12.5%
く 1
12.5%
や 1
12.5%
ち 1
12.5%
つ 1
12.5%
り 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30686
88.5%
ASCII 3966
 
11.4%
CJK 24
 
0.1%
Hiragana 8
 
< 0.1%
None 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1304
 
4.2%
주 1090
 
3.6%
충 792
 
2.6%
이 637
 
2.1%
식 567
 
1.8%
수 516
 
1.7%
당 475
 
1.5%
스 447
 
1.5%
리 400
 
1.3%
가 394
 
1.3%
Other values (840) 24064
78.4%
ASCII
ValueCountFrequency (%)
) 490
 
12.4%
( 489
 
12.3%
201
 
5.1%
e 150
 
3.8%
C 132
 
3.3%
2 126
 
3.2%
1 107
 
2.7%
A 98
 
2.5%
a 90
 
2.3%
o 90
 
2.3%
Other values (64) 1993
50.3%
CJK
ValueCountFrequency (%)
家 4
16.7%
津 2
 
8.3%
山 2
 
8.3%
味 2
 
8.3%
牛 1
 
4.2%
開 1
 
4.2%
花 1
 
4.2%
羊 1
 
4.2%
李 1
 
4.2%
愛 1
 
4.2%
Other values (8) 8
33.3%
Hiragana
ValueCountFrequency (%)
ま 2
25.0%
よ 1
12.5%
く 1
12.5%
や 1
12.5%
ち 1
12.5%
つ 1
12.5%
り 1
12.5%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

소재지(도로명)
Text

Distinct4124
Distinct (%)82.1%
Missing34
Missing (%)0.7%
Memory size39.7 KiB
2023-12-13T01:00:18.156780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length55
Mean length25.541982
Min length18

Characters and Unicode

Total characters128374
Distinct characters408
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3413 ?
Unique (%)67.9%

Sample

1st row충청북도 충주시 중앙로 95, 1~2층 (성내동)
2nd row충청북도 충주시 남산6길 3 (교현동)
3rd row충청북도 충주시 관아5길 2 (성내동)
4th row충청북도 충주시 예성로 168 (성서동)
5th row충청북도 충주시 예성로 168 (성서동)
ValueCountFrequency (%)
충주시 5027
 
17.6%
충청북도 5026
 
17.6%
1층 1644
 
5.8%
연수동 791
 
2.8%
교현동 437
 
1.5%
대소원면 316
 
1.1%
호암동 283
 
1.0%
칠금동 269
 
0.9%
용산동 236
 
0.8%
봉방동 222
 
0.8%
Other values (2226) 14276
50.0%
2023-12-13T01:00:18.741677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23502
18.3%
충 10528
 
8.2%
1 5994
 
4.7%
주 5446
 
4.2%
시 5151
 
4.0%
청 5148
 
4.0%
도 5104
 
4.0%
북 5032
 
3.9%
동 4225
 
3.3%
) 3657
 
2.8%
Other values (398) 54587
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75622
58.9%
Space Separator 23502
 
18.3%
Decimal Number 18333
 
14.3%
Close Punctuation 3657
 
2.8%
Open Punctuation 3655
 
2.8%
Other Punctuation 2560
 
2.0%
Dash Punctuation 901
 
0.7%
Uppercase Letter 90
 
0.1%
Lowercase Letter 30
 
< 0.1%
Math Symbol 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 10528
 
13.9%
주 5446
 
7.2%
시 5151
 
6.8%
청 5148
 
6.8%
도 5104
 
6.7%
북 5032
 
6.7%
동 4225
 
5.6%
길 2799
 
3.7%
로 2365
 
3.1%
층 2042
 
2.7%
Other values (359) 27782
36.7%
Uppercase Letter
ValueCountFrequency (%)
A 34
37.8%
B 22
24.4%
H 6
 
6.7%
L 6
 
6.7%
C 6
 
6.7%
S 5
 
5.6%
G 4
 
4.4%
F 2
 
2.2%
K 2
 
2.2%
N 1
 
1.1%
Other values (2) 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 5994
32.7%
2 2805
15.3%
3 1753
 
9.6%
4 1437
 
7.8%
0 1343
 
7.3%
5 1261
 
6.9%
6 998
 
5.4%
7 993
 
5.4%
8 875
 
4.8%
9 874
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 20
66.7%
c 3
 
10.0%
l 2
 
6.7%
s 1
 
3.3%
h 1
 
3.3%
i 1
 
3.3%
v 1
 
3.3%
u 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 2553
99.7%
@ 3
 
0.1%
. 3
 
0.1%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
23502
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3657
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3655
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 901
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75622
58.9%
Common 52632
41.0%
Latin 120
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 10528
 
13.9%
주 5446
 
7.2%
시 5151
 
6.8%
청 5148
 
6.8%
도 5104
 
6.7%
북 5032
 
6.7%
동 4225
 
5.6%
길 2799
 
3.7%
로 2365
 
3.1%
층 2042
 
2.7%
Other values (359) 27782
36.7%
Latin
ValueCountFrequency (%)
A 34
28.3%
B 22
18.3%
e 20
16.7%
H 6
 
5.0%
L 6
 
5.0%
C 6
 
5.0%
S 5
 
4.2%
G 4
 
3.3%
c 3
 
2.5%
l 2
 
1.7%
Other values (10) 12
 
10.0%
Common
ValueCountFrequency (%)
23502
44.7%
1 5994
 
11.4%
) 3657
 
6.9%
( 3655
 
6.9%
2 2805
 
5.3%
, 2553
 
4.9%
3 1753
 
3.3%
4 1437
 
2.7%
0 1343
 
2.6%
5 1261
 
2.4%
Other values (9) 4672
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75622
58.9%
ASCII 52751
41.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23502
44.6%
1 5994
 
11.4%
) 3657
 
6.9%
( 3655
 
6.9%
2 2805
 
5.3%
, 2553
 
4.8%
3 1753
 
3.3%
4 1437
 
2.7%
0 1343
 
2.5%
5 1261
 
2.4%
Other values (28) 4791
 
9.1%
Hangul
ValueCountFrequency (%)
충 10528
 
13.9%
주 5446
 
7.2%
시 5151
 
6.8%
청 5148
 
6.8%
도 5104
 
6.7%
북 5032
 
6.7%
동 4225
 
5.6%
길 2799
 
3.7%
로 2365
 
3.1%
층 2042
 
2.7%
Other values (359) 27782
36.7%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(지번)
Text

Distinct3586
Distinct (%)71.1%
Missing18
Missing (%)0.4%
Memory size39.7 KiB
2023-12-13T01:00:19.117765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length20.387346
Min length15

Characters and Unicode

Total characters102793
Distinct characters356
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

Unique2614 ?
Unique (%)51.8%

Sample

1st row충청북도 충주시 성내동 70 (1층-2층)
2nd row충청북도 충주시 교현동 1080
3rd row충청북도 충주시 성내동 487
4th row충청북도 충주시 성서동 1
5th row충청북도 충주시 성서동 306
ValueCountFrequency (%)
충주시 5043
22.5%
충청북도 5042
22.4%
연수동 792
 
3.5%
교현동 437
 
1.9%
대소원면 313
 
1.4%
호암동 284
 
1.3%
칠금동 270
 
1.2%
용산동 235
 
1.0%
봉방동 222
 
1.0%
중앙탑면 214
 
1.0%
Other values (3237) 9609
42.8%
2023-12-13T01:00:19.708878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22432
21.8%
충 10293
 
10.0%
주 5346
 
5.2%
시 5073
 
4.9%
도 5065
 
4.9%
청 5060
 
4.9%
북 5045
 
4.9%
1 4080
 
4.0%
동 3743
 
3.6%
- 2384
 
2.3%
Other values (346) 34272
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58372
56.8%
Space Separator 22432
 
21.8%
Decimal Number 19329
 
18.8%
Dash Punctuation 2384
 
2.3%
Open Punctuation 85
 
0.1%
Close Punctuation 85
 
0.1%
Uppercase Letter 39
 
< 0.1%
Lowercase Letter 35
 
< 0.1%
Other Punctuation 30
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 10293
17.6%
주 5346
 
9.2%
시 5073
 
8.7%
도 5065
 
8.7%
청 5060
 
8.7%
북 5045
 
8.6%
동 3743
 
6.4%
리 1508
 
2.6%
면 1317
 
2.3%
수 1047
 
1.8%
Other values (308) 14875
25.5%
Uppercase Letter
ValueCountFrequency (%)
S 6
15.4%
L 6
15.4%
H 5
12.8%
B 5
12.8%
G 4
10.3%
A 3
7.7%
T 2
 
5.1%
R 2
 
5.1%
F 2
 
5.1%
C 1
 
2.6%
Other values (3) 3
7.7%
Decimal Number
ValueCountFrequency (%)
1 4080
21.1%
2 2288
11.8%
3 1866
9.7%
6 1865
9.6%
5 1744
9.0%
4 1736
9.0%
8 1490
 
7.7%
7 1488
 
7.7%
0 1404
 
7.3%
9 1368
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 21
60.0%
l 4
 
11.4%
c 2
 
5.7%
h 2
 
5.7%
u 2
 
5.7%
v 2
 
5.7%
i 2
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 15
50.0%
. 10
33.3%
@ 5
 
16.7%
Space Separator
ValueCountFrequency (%)
22432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58372
56.8%
Common 44347
43.1%
Latin 74
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 10293
17.6%
주 5346
 
9.2%
시 5073
 
8.7%
도 5065
 
8.7%
청 5060
 
8.7%
북 5045
 
8.6%
동 3743
 
6.4%
리 1508
 
2.6%
면 1317
 
2.3%
수 1047
 
1.8%
Other values (308) 14875
25.5%
Latin
ValueCountFrequency (%)
e 21
28.4%
S 6
 
8.1%
L 6
 
8.1%
H 5
 
6.8%
B 5
 
6.8%
G 4
 
5.4%
l 4
 
5.4%
A 3
 
4.1%
c 2
 
2.7%
T 2
 
2.7%
Other values (10) 16
21.6%
Common
ValueCountFrequency (%)
22432
50.6%
1 4080
 
9.2%
- 2384
 
5.4%
2 2288
 
5.2%
3 1866
 
4.2%
6 1865
 
4.2%
5 1744
 
3.9%
4 1736
 
3.9%
8 1490
 
3.4%
7 1488
 
3.4%
Other values (8) 2974
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58372
56.8%
ASCII 44421
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22432
50.5%
1 4080
 
9.2%
- 2384
 
5.4%
2 2288
 
5.2%
3 1866
 
4.2%
6 1865
 
4.2%
5 1744
 
3.9%
4 1736
 
3.9%
8 1490
 
3.4%
7 1488
 
3.3%
Other values (28) 3048
 
6.9%
Hangul
ValueCountFrequency (%)
충 10293
17.6%
주 5346
 
9.2%
시 5073
 
8.7%
도 5065
 
8.7%
청 5060
 
8.7%
북 5045
 
8.6%
동 3743
 
6.4%
리 1508
 
2.6%
면 1317
 
2.3%
수 1047
 
1.8%
Other values (308) 14875
25.5%

영업장면적
Real number (ℝ)

Distinct3525
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.731213
Minimum0
Maximum3187.29
Zeros14
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size44.6 KiB
2023-12-13T01:00:19.903301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.7235
Q140.085
median68.995
Q3110.405
95-th percentile244.318
Maximum3187.29
Range3187.29
Interquartile range (IQR)70.32

Descriptive statistics

Standard deviation124.94982
Coefficient of variation (CV)1.305215
Kurtosis145.82426
Mean95.731213
Median Absolute Deviation (MAD)32.01
Skewness9.0449578
Sum484399.94
Variance15612.456
MonotonicityNot monotonic
2023-12-13T01:00:20.076369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 30
 
0.6%
3.3 18
 
0.4%
10.0 16
 
0.3%
4.0 14
 
0.3%
0.0 14
 
0.3%
36.0 14
 
0.3%
48.0 14
 
0.3%
2.0 13
 
0.3%
56.0 10
 
0.2%
33.6 10
 
0.2%
Other values (3515) 4907
97.0%
ValueCountFrequency (%)
0.0 14
0.3%
0.96 1
 
< 0.1%
1.08 1
 
< 0.1%
1.16 1
 
< 0.1%
1.26 1
 
< 0.1%
1.33 1
 
< 0.1%
1.5 1
 
< 0.1%
1.7 1
 
< 0.1%
1.8 1
 
< 0.1%
1.82 1
 
< 0.1%
ValueCountFrequency (%)
3187.29 1
< 0.1%
2361.11 1
< 0.1%
2319.9 1
< 0.1%
1947.58 1
< 0.1%
1669.5 1
< 0.1%
1468.0 1
< 0.1%
1371.4 1
< 0.1%
1328.33 1
< 0.1%
1160.65 1
< 0.1%
1151.62 2
< 0.1%

소재지전화
Text

MISSING 

Distinct3113
Distinct (%)84.6%
Missing1380
Missing (%)27.3%
Memory size39.7 KiB
2023-12-13T01:00:20.374055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.014674
Min length4

Characters and Unicode

Total characters44214
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

Unique2613 ?
Unique (%)71.0%

Sample

1st row043-847-3248
2nd row043-842-8988
3rd row043-847-3196
4th row043-847-3348
5th row043-847-2998
ValueCountFrequency (%)
043-857-9339 11
 
0.3%
043-851-5773 9
 
0.2%
043-848-5554 6
 
0.2%
043-853-5555 6
 
0.2%
043-841-1052 6
 
0.2%
043-849-7071 5
 
0.1%
043-851-9662 5
 
0.1%
043-846-2331 5
 
0.1%
043-850-8615 4
 
0.1%
043-844-2930 4
 
0.1%
Other values (3103) 3619
98.3%
2023-12-13T01:00:20.787006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7358
16.6%
4 6915
15.6%
0 5700
12.9%
3 5551
12.6%
8 5394
12.2%
5 4091
9.3%
2 2194
 
5.0%
7 2054
 
4.6%
1 1678
 
3.8%
6 1655
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36856
83.4%
Dash Punctuation 7358
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6915
18.8%
0 5700
15.5%
3 5551
15.1%
8 5394
14.6%
5 4091
11.1%
2 2194
 
6.0%
7 2054
 
5.6%
1 1678
 
4.6%
6 1655
 
4.5%
9 1624
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 7358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7358
16.6%
4 6915
15.6%
0 5700
12.9%
3 5551
12.6%
8 5394
12.2%
5 4091
9.3%
2 2194
 
5.0%
7 2054
 
4.6%
1 1678
 
3.8%
6 1655
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7358
16.6%
4 6915
15.6%
0 5700
12.9%
3 5551
12.6%
8 5394
12.2%
5 4091
9.3%
2 2194
 
5.0%
7 2054
 
4.6%
1 1678
 
3.8%
6 1655
 
3.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
충주시청 위생과
5060 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충주시청 위생과
2nd row충주시청 위생과
3rd row충주시청 위생과
4th row충주시청 위생과
5th row충주시청 위생과

Common Values

ValueCountFrequency (%)
충주시청 위생과 5060
100.0%

Length

2023-12-13T01:00:20.941551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:21.055784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충주시청 5060
50.0%
위생과 5060
50.0%

문의전화
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
043-850-3473
5060 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row043-850-3473
2nd row043-850-3473
3rd row043-850-3473
4th row043-850-3473
5th row043-850-3473

Common Values

ValueCountFrequency (%)
043-850-3473 5060
100.0%

Length

2023-12-13T01:00:21.165776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:21.263583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
043-850-3473 5060
100.0%

Interactions

2023-12-13T01:00:15.782703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:00:21.321779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명영업장면적
업종명1.0000.244
영업장면적0.2441.000
2023-12-13T01:00:21.413006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적업종명
영업장면적1.0000.124
업종명0.1241.000

Missing values

2023-12-13T01:00:15.930746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:00:16.105271image/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.
2023-12-13T01:00:16.251369image/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

자치단체명업종명업소명소재지(도로명)소재지(지번)영업장면적소재지전화담당부서문의전화
0충청북도 충주시일반음식점평화루충청북도 충주시 중앙로 95, 1~2층 (성내동)충청북도 충주시 성내동 70 (1층-2층)183.2043-847-3248충주시청 위생과043-850-3473
1충청북도 충주시일반음식점신동양충청북도 충주시 남산6길 3 (교현동)충청북도 충주시 교현동 108095.95043-842-8988충주시청 위생과043-850-3473
2충청북도 충주시일반음식점염소탕집충청북도 충주시 관아5길 2 (성내동)충청북도 충주시 성내동 487102.6043-847-3196충주시청 위생과043-850-3473
3충청북도 충주시일반음식점이호식당충청북도 충주시 예성로 168 (성서동)충청북도 충주시 성서동 139.96043-847-3348충주시청 위생과043-850-3473
4충청북도 충주시일반음식점아주식당충청북도 충주시 예성로 168 (성서동)충청북도 충주시 성서동 30633.24043-847-2998충주시청 위생과043-850-3473
5충청북도 충주시일반음식점아서원충청북도 충주시 관아1길 8-1 (성내동)충청북도 충주시 성내동 38675.04043-847-3639충주시청 위생과043-850-3473
6충청북도 충주시일반음식점중원생고기마을충청북도 충주시 관아3길 11 (성서동)충청북도 충주시 성서동 34470.2043-847-1525충주시청 위생과043-850-3473
7충청북도 충주시일반음식점덕산집충청북도 충주시 중앙로 50 (문화동)충청북도 충주시 문화동 82625.16043-847-5509충주시청 위생과043-850-3473
8충청북도 충주시일반음식점대미토종순대충청북도 충주시 금가면 대미길 61충청북도 충주시 금가면 사암리 5135.28043-853-1128충주시청 위생과043-850-3473
9충청북도 충주시일반음식점대미식당충청북도 충주시 금가면 대미길 59충청북도 충주시 금가면 사암리 50-782.34043-853-7066충주시청 위생과043-850-3473
자치단체명업종명업소명소재지(도로명)소재지(지번)영업장면적소재지전화담당부서문의전화
5050충청북도 충주시휴게음식점나율충청북도 충주시 금곡로 61, GS더프레쉬 가동 1층 (연수동)충청북도 충주시 연수동 591-1 GS더프레쉬21.56<NA>충주시청 위생과043-850-3473
5051충청북도 충주시휴게음식점세븐일레븐충주돈산점충청북도 충주시 앙성면 산전장수1길 3, 1층충청북도 충주시 앙성면 돈산리 119-19.9<NA>충주시청 위생과043-850-3473
5052충청북도 충주시휴게음식점단백해충청북도 충주시 칠금7길 9, 1층 (칠금동)충청북도 충주시 칠금동 77552.69<NA>충주시청 위생과043-850-3473
5053충청북도 충주시휴게음식점파인커피(PINE COFFEE)충청북도 충주시 연수동산로2길 20-7, 1층 (연수동)충청북도 충주시 연수동 156759.89<NA>충주시청 위생과043-850-3473
5054충청북도 충주시휴게음식점디애플충청북도 충주시 번영대로 201, 1층 (연수동)충청북도 충주시 연수동 1309-287.9043-855-1996충주시청 위생과043-850-3473
5055충청북도 충주시휴게음식점팔도커피충주교현점충청북도 충주시 국원대로 123, 1층 4호 (교현동)충청북도 충주시 교현동 113654.0<NA>충주시청 위생과043-850-3473
5056충청북도 충주시휴게음식점팔봉커피충청북도 충주시 대소원면 팔봉로 552, 1층충청북도 충주시 대소원면 문주리 83111.7<NA>충주시청 위생과043-850-3473
5057충청북도 충주시휴게음식점세븐일레븐충주연수주공스타점충청북도 충주시 예성로 401, 1층 1~2호 (연수동, 연수주공4,5단지아파트)충청북도 충주시 연수동 686 연수주공4,5단지아파트6.66<NA>충주시청 위생과043-850-3473
5058충청북도 충주시위탁급식영업(주)금강웰빙푸드 아이배냇점충청북도 충주시 대소원면 메가폴리스3로 8, 아이배냇 충주 공장 2층충청북도 충주시 대소원면 영평리 849 아이배냇 충주 공장81.62041-584-0925충주시청 위생과043-850-3473
5059충청북도 충주시위탁급식영업삼성웰스토리(주)중앙경찰학교1충청북도 충주시 수안보면 수회리로 138, 중앙경찰학교 1층,2층충청북도 충주시 수안보면 수회리 95 중앙경찰학교3187.29<NA>충주시청 위생과043-850-3473

Duplicate rows

Most frequently occurring

자치단체명업종명업소명소재지(도로명)소재지(지번)영업장면적소재지전화담당부서문의전화# duplicates
0충청북도 충주시일반음식점(주)엘에프에스 수안보소담양식당충청북도 충주시 수안보면 주정산로 22충청북도 충주시 수안보면 온천리 29244.91043-851-9662충주시청 위생과043-850-34732
1충청북도 충주시일반음식점(주)엘에프에스 수안보소담한식당충청북도 충주시 수안보면 주정산로 22충청북도 충주시 수안보면 온천리 292718.98043-851-9662충주시청 위생과043-850-34732
2충청북도 충주시일반음식점150충청북도 충주시 동량면 지등로 529충청북도 충주시 동량면 조동리 736152.52043-851-4599충주시청 위생과043-850-34732
3충청북도 충주시일반음식점153낙지와박이야기교현점충청북도 충주시 사직로 258-1 (교현동)충청북도 충주시 교현동 257-21 외1필지290.62043-856-0153충주시청 위생과043-850-34732
4충청북도 충주시일반음식점BHC치킨충주수안보점&큰맘할매순대국충주수안보점충청북도 충주시 수안보면 주정산로 50충청북도 충주시 수안보면 온천리 200-4140.8043-846-9968충주시청 위생과043-850-34732
5충청북도 충주시일반음식점가나돈까스충청북도 충주시 거룡2길 62-2 (용산동)충청북도 충주시 용산동 122851.91043-844-4449충주시청 위생과043-850-34732
6충청북도 충주시일반음식점가마소충청북도 충주시 연못2길 5 (문화동)충청북도 충주시 문화동 29487.33043-854-2550충주시청 위생과043-850-34732
7충청북도 충주시일반음식점가마솥순대국충청북도 충주시 예성로 68 (지현동)충청북도 충주시 지현동 152646.31043-847-8519충주시청 위생과043-850-34732
8충청북도 충주시일반음식점가마솥한식뷔페충청북도 충주시 동량면 대전조돈길 5충청북도 충주시 동량면 대전리 1583-4103.87043-857-6288충주시청 위생과043-850-34732
9충청북도 충주시일반음식점가문충청북도 충주시 금릉로 69-1 (칠금동)충청북도 충주시 칠금동 72276.56043-857-7008충주시청 위생과043-850-34732