Overview

Dataset statistics

Number of variables9
Number of observations3056
Missing cells1242
Missing cells (%)4.5%
Duplicate rows345
Duplicate rows (%)11.3%
Total size in memory215.0 KiB
Average record size in memory72.0 B

Variable types

Categorical2
DateTime3
Text4

Dataset

Description충청북도 제천시의 음식점현황입니다. - 업종명 - 인허가일자 - 업소명 - 소재지(도로명) - 소재지(지번) - 소재지전화 - 영업자시작일 - 업태명 - 데이터기준일자
URLhttps://www.data.go.kr/data/15033913/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 345 (11.3%) duplicate rowsDuplicates
업태명 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 업태명High correlation
업종명 is highly imbalanced (59.4%)Imbalance
도로명 주소 has 76 (2.5%) missing valuesMissing
지번주소 has 59 (1.9%) missing valuesMissing
전화번호 has 1107 (36.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:21:27.607464
Analysis finished2023-12-12 21:21:28.978978
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.0 KiB
일반음식점
2608 
휴게음식점
425 
제과점영업
 
23

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 2608
85.3%
휴게음식점 425
 
13.9%
제과점영업 23
 
0.8%

Length

2023-12-13T06:21:29.034562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:21:29.368233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2608
85.3%
휴게음식점 425
 
13.9%
제과점영업 23
 
0.8%

인허가일자
Date

Distinct2048
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size24.0 KiB
Minimum1979-06-07 00:00:00
Maximum2023-08-22 00:00:00
2023-12-13T06:21:29.465143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:29.574708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct2690
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size24.0 KiB
2023-12-13T06:21:29.872048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length6.1524869
Min length1

Characters and Unicode

Total characters18802
Distinct characters808
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2326 ?
Unique (%)76.1%

Sample

1st row의림분식
2nd row대추나무집
3rd row단양식당
4th row제천식당
5th row충북식당
ValueCountFrequency (%)
제천점 82
 
2.1%
세븐일레븐 26
 
0.7%
청전점 17
 
0.4%
본점 17
 
0.4%
제천장락점 16
 
0.4%
카페 15
 
0.4%
제천청전점 14
 
0.4%
제천 14
 
0.4%
장락점 11
 
0.3%
제천중앙점 11
 
0.3%
Other values (2988) 3705
94.3%
2023-12-13T06:21:30.302021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
873
 
4.6%
점 561
 
3.0%
제 432
 
2.3%
천 415
 
2.2%
식 363
 
1.9%
이 346
 
1.8%
당 309
 
1.6%
리 247
 
1.3%
장 231
 
1.2%
스 204
 
1.1%
Other values (798) 14821
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16843
89.6%
Space Separator 873
 
4.6%
Uppercase Letter 325
 
1.7%
Decimal Number 277
 
1.5%
Lowercase Letter 226
 
1.2%
Open Punctuation 98
 
0.5%
Close Punctuation 98
 
0.5%
Other Punctuation 55
 
0.3%
Math Symbol 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 561
 
3.3%
제 432
 
2.6%
천 415
 
2.5%
식 363
 
2.2%
이 346
 
2.1%
당 309
 
1.8%
리 247
 
1.5%
장 231
 
1.4%
스 204
 
1.2%
가 192
 
1.1%
Other values (731) 13543
80.4%
Uppercase Letter
ValueCountFrequency (%)
C 51
15.7%
G 34
 
10.5%
S 30
 
9.2%
E 23
 
7.1%
O 19
 
5.8%
P 17
 
5.2%
A 14
 
4.3%
B 14
 
4.3%
R 12
 
3.7%
T 12
 
3.7%
Other values (14) 99
30.5%
Lowercase Letter
ValueCountFrequency (%)
e 38
16.8%
a 24
10.6%
o 20
 
8.8%
i 15
 
6.6%
n 15
 
6.6%
r 14
 
6.2%
c 12
 
5.3%
f 12
 
5.3%
s 11
 
4.9%
m 10
 
4.4%
Other values (12) 55
24.3%
Decimal Number
ValueCountFrequency (%)
2 69
24.9%
5 43
15.5%
1 40
14.4%
9 24
 
8.7%
4 20
 
7.2%
0 18
 
6.5%
6 18
 
6.5%
7 15
 
5.4%
8 15
 
5.4%
3 15
 
5.4%
Other Punctuation
ValueCountFrequency (%)
& 37
67.3%
, 8
 
14.5%
. 6
 
10.9%
' 4
 
7.3%
Space Separator
ValueCountFrequency (%)
873
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16841
89.6%
Common 1408
 
7.5%
Latin 551
 
2.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 561
 
3.3%
제 432
 
2.6%
천 415
 
2.5%
식 363
 
2.2%
이 346
 
2.1%
당 309
 
1.8%
리 247
 
1.5%
장 231
 
1.4%
스 204
 
1.2%
가 192
 
1.1%
Other values (729) 13541
80.4%
Latin
ValueCountFrequency (%)
C 51
 
9.3%
e 38
 
6.9%
G 34
 
6.2%
S 30
 
5.4%
a 24
 
4.4%
E 23
 
4.2%
o 20
 
3.6%
O 19
 
3.4%
P 17
 
3.1%
i 15
 
2.7%
Other values (36) 280
50.8%
Common
ValueCountFrequency (%)
873
62.0%
( 98
 
7.0%
) 98
 
7.0%
2 69
 
4.9%
5 43
 
3.1%
1 40
 
2.8%
& 37
 
2.6%
9 24
 
1.7%
4 20
 
1.4%
0 18
 
1.3%
Other values (11) 88
 
6.2%
Han
ValueCountFrequency (%)
休 1
50.0%
幸 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16841
89.6%
ASCII 1958
 
10.4%
CJK 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
873
44.6%
( 98
 
5.0%
) 98
 
5.0%
2 69
 
3.5%
C 51
 
2.6%
5 43
 
2.2%
1 40
 
2.0%
e 38
 
1.9%
& 37
 
1.9%
G 34
 
1.7%
Other values (56) 577
29.5%
Hangul
ValueCountFrequency (%)
점 561
 
3.3%
제 432
 
2.6%
천 415
 
2.5%
식 363
 
2.2%
이 346
 
2.1%
당 309
 
1.8%
리 247
 
1.5%
장 231
 
1.4%
스 204
 
1.2%
가 192
 
1.1%
Other values (729) 13541
80.4%
CJK
ValueCountFrequency (%)
休 1
50.0%
幸 1
50.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

도로명 주소
Text

MISSING 

Distinct2467
Distinct (%)82.8%
Missing76
Missing (%)2.5%
Memory size24.0 KiB
2023-12-13T06:21:30.553103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length52
Mean length26.315101
Min length18

Characters and Unicode

Total characters78419
Distinct characters298
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2045 ?
Unique (%)68.6%

Sample

1st row충청북도 제천시 독순로 34-1 (의림동)
2nd row충청북도 제천시 수산면 월악로26길 55
3rd row충청북도 제천시 덕산면 약초로3길 7
4th row충청북도 제천시 풍양로9길 11-1 (의림동)
5th row충청북도 제천시 봉양읍 제원로 460
ValueCountFrequency (%)
충청북도 2980
 
18.0%
제천시 2980
 
18.0%
1층 744
 
4.5%
청전동 450
 
2.7%
장락동 281
 
1.7%
하소동 170
 
1.0%
중앙로2가 161
 
1.0%
의림동 155
 
0.9%
봉양읍 135
 
0.8%
화산동 130
 
0.8%
Other values (1550) 8375
50.6%
2023-12-13T06:21:30.963675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13581
 
17.3%
1 4023
 
5.1%
청 3857
 
4.9%
천 3378
 
4.3%
제 3332
 
4.2%
로 3195
 
4.1%
시 3034
 
3.9%
북 3012
 
3.8%
도 3006
 
3.8%
충 2980
 
3.8%
Other values (288) 35021
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45534
58.1%
Space Separator 13581
 
17.3%
Decimal Number 12028
 
15.3%
Close Punctuation 2646
 
3.4%
Open Punctuation 2646
 
3.4%
Other Punctuation 1440
 
1.8%
Dash Punctuation 488
 
0.6%
Uppercase Letter 32
 
< 0.1%
Math Symbol 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 3857
 
8.5%
천 3378
 
7.4%
제 3332
 
7.3%
로 3195
 
7.0%
시 3034
 
6.7%
북 3012
 
6.6%
도 3006
 
6.6%
충 2980
 
6.5%
동 2441
 
5.4%
길 1582
 
3.5%
Other values (260) 15717
34.5%
Decimal Number
ValueCountFrequency (%)
1 4023
33.4%
2 1769
14.7%
3 1140
 
9.5%
5 893
 
7.4%
4 865
 
7.2%
0 837
 
7.0%
6 745
 
6.2%
7 599
 
5.0%
8 598
 
5.0%
9 559
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
28.1%
A 9
28.1%
C 3
 
9.4%
E 2
 
6.2%
M 2
 
6.2%
R 2
 
6.2%
T 2
 
6.2%
G 1
 
3.1%
L 1
 
3.1%
H 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 1432
99.4%
" 4
 
0.3%
. 4
 
0.3%
Space Separator
ValueCountFrequency (%)
13581
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2646
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45533
58.1%
Common 32853
41.9%
Latin 32
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 3857
 
8.5%
천 3378
 
7.4%
제 3332
 
7.3%
로 3195
 
7.0%
시 3034
 
6.7%
북 3012
 
6.6%
도 3006
 
6.6%
충 2980
 
6.5%
동 2441
 
5.4%
길 1582
 
3.5%
Other values (259) 15716
34.5%
Common
ValueCountFrequency (%)
13581
41.3%
1 4023
 
12.2%
) 2646
 
8.1%
( 2646
 
8.1%
2 1769
 
5.4%
, 1432
 
4.4%
3 1140
 
3.5%
5 893
 
2.7%
4 865
 
2.6%
0 837
 
2.5%
Other values (8) 3021
 
9.2%
Latin
ValueCountFrequency (%)
B 9
28.1%
A 9
28.1%
C 3
 
9.4%
E 2
 
6.2%
M 2
 
6.2%
R 2
 
6.2%
T 2
 
6.2%
G 1
 
3.1%
L 1
 
3.1%
H 1
 
3.1%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45533
58.1%
ASCII 32885
41.9%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13581
41.3%
1 4023
 
12.2%
) 2646
 
8.0%
( 2646
 
8.0%
2 1769
 
5.4%
, 1432
 
4.4%
3 1140
 
3.5%
5 893
 
2.7%
4 865
 
2.6%
0 837
 
2.5%
Other values (18) 3053
 
9.3%
Hangul
ValueCountFrequency (%)
청 3857
 
8.5%
천 3378
 
7.4%
제 3332
 
7.3%
로 3195
 
7.0%
시 3034
 
6.7%
북 3012
 
6.6%
도 3006
 
6.6%
충 2980
 
6.5%
동 2441
 
5.4%
길 1582
 
3.5%
Other values (259) 15716
34.5%
CJK
ValueCountFrequency (%)
內 1
100.0%

지번주소
Text

MISSING 

Distinct2219
Distinct (%)74.0%
Missing59
Missing (%)1.9%
Memory size24.0 KiB
2023-12-13T06:21:31.276413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length45
Mean length20.288288
Min length15

Characters and Unicode

Total characters60804
Distinct characters250
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

Unique1654 ?
Unique (%)55.2%

Sample

1st row충청북도 제천시 의림동 173
2nd row충청북도 제천시 명동 150
3rd row충청북도 제천시 수산면 수산리 602-15
4th row충청북도 제천시 덕산면 도전리 1776-44
5th row충청북도 제천시 덕산면 도전리 439
ValueCountFrequency (%)
충청북도 2997
22.9%
제천시 2997
22.9%
청전동 490
 
3.7%
장락동 299
 
2.3%
하소동 180
 
1.4%
중앙로2가 174
 
1.3%
의림동 161
 
1.2%
화산동 139
 
1.1%
봉양읍 135
 
1.0%
1층 127
 
1.0%
Other values (2183) 5408
41.3%
2023-12-13T06:21:31.746356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13059
21.5%
청 3572
 
5.9%
천 3204
 
5.3%
제 3105
 
5.1%
도 3070
 
5.0%
시 3043
 
5.0%
북 2999
 
4.9%
충 2997
 
4.9%
1 2497
 
4.1%
동 2357
 
3.9%
Other values (240) 20901
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33602
55.3%
Space Separator 13059
 
21.5%
Decimal Number 11857
 
19.5%
Dash Punctuation 1899
 
3.1%
Open Punctuation 164
 
0.3%
Close Punctuation 163
 
0.3%
Other Punctuation 36
 
0.1%
Uppercase Letter 21
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 3572
10.6%
천 3204
 
9.5%
제 3105
 
9.2%
도 3070
 
9.1%
시 3043
 
9.1%
북 2999
 
8.9%
충 2997
 
8.9%
동 2357
 
7.0%
전 534
 
1.6%
리 532
 
1.6%
Other values (215) 8189
24.4%
Decimal Number
ValueCountFrequency (%)
1 2497
21.1%
2 1670
14.1%
3 1096
9.2%
4 1036
8.7%
5 1012
8.5%
7 995
 
8.4%
8 958
 
8.1%
6 923
 
7.8%
0 897
 
7.6%
9 773
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 9
42.9%
B 4
19.0%
T 2
 
9.5%
E 2
 
9.5%
R 2
 
9.5%
M 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
, 29
80.6%
" 4
 
11.1%
/ 2
 
5.6%
: 1
 
2.8%
Space Separator
ValueCountFrequency (%)
13059
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1899
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33602
55.3%
Common 27181
44.7%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 3572
10.6%
천 3204
 
9.5%
제 3105
 
9.2%
도 3070
 
9.1%
시 3043
 
9.1%
북 2999
 
8.9%
충 2997
 
8.9%
동 2357
 
7.0%
전 534
 
1.6%
리 532
 
1.6%
Other values (215) 8189
24.4%
Common
ValueCountFrequency (%)
13059
48.0%
1 2497
 
9.2%
- 1899
 
7.0%
2 1670
 
6.1%
3 1096
 
4.0%
4 1036
 
3.8%
5 1012
 
3.7%
7 995
 
3.7%
8 958
 
3.5%
6 923
 
3.4%
Other values (9) 2036
 
7.5%
Latin
ValueCountFrequency (%)
A 9
42.9%
B 4
19.0%
T 2
 
9.5%
E 2
 
9.5%
R 2
 
9.5%
M 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33602
55.3%
ASCII 27202
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13059
48.0%
1 2497
 
9.2%
- 1899
 
7.0%
2 1670
 
6.1%
3 1096
 
4.0%
4 1036
 
3.8%
5 1012
 
3.7%
7 995
 
3.7%
8 958
 
3.5%
6 923
 
3.4%
Other values (15) 2057
 
7.6%
Hangul
ValueCountFrequency (%)
청 3572
10.6%
천 3204
 
9.5%
제 3105
 
9.2%
도 3070
 
9.1%
시 3043
 
9.1%
북 2999
 
8.9%
충 2997
 
8.9%
동 2357
 
7.0%
전 534
 
1.6%
리 532
 
1.6%
Other values (215) 8189
24.4%

전화번호
Text

MISSING 

Distinct1589
Distinct (%)81.5%
Missing1107
Missing (%)36.2%
Memory size24.0 KiB
2023-12-13T06:21:32.025832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.001539
Min length9

Characters and Unicode

Total characters23391
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

Unique1251 ?
Unique (%)64.2%

Sample

1st row043-644-3489
2nd row043-642-5043
3rd row043-642-3034
4th row043-644-0585
5th row043-643-2555
ValueCountFrequency (%)
043-648-2740 5
 
0.3%
043-652-5659 4
 
0.2%
043-648-0480 4
 
0.2%
043-647-5444 4
 
0.2%
043-646-1557 4
 
0.2%
043-643-4458 3
 
0.2%
043-652-3315 3
 
0.2%
043-645-5292 3
 
0.2%
043-642-3636 3
 
0.2%
043-642-8292 3
 
0.2%
Other values (1579) 1913
98.2%
2023-12-13T06:21:32.393950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 4255
18.2%
- 3897
16.7%
3 3050
13.0%
0 3013
12.9%
6 2808
12.0%
5 1511
 
6.5%
2 1382
 
5.9%
8 1009
 
4.3%
7 900
 
3.8%
1 814
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19494
83.3%
Dash Punctuation 3897
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4255
21.8%
3 3050
15.6%
0 3013
15.5%
6 2808
14.4%
5 1511
 
7.8%
2 1382
 
7.1%
8 1009
 
5.2%
7 900
 
4.6%
1 814
 
4.2%
9 752
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 3897
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23391
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4255
18.2%
- 3897
16.7%
3 3050
13.0%
0 3013
12.9%
6 2808
12.0%
5 1511
 
6.5%
2 1382
 
5.9%
8 1009
 
4.3%
7 900
 
3.8%
1 814
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4255
18.2%
- 3897
16.7%
3 3050
13.0%
0 3013
12.9%
6 2808
12.0%
5 1511
 
6.5%
2 1382
 
5.9%
8 1009
 
4.3%
7 900
 
3.8%
1 814
 
3.5%

영업시작일
Date

Distinct1757
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size24.0 KiB
Minimum1980-04-24 00:00:00
Maximum2023-08-22 00:00:00
2023-12-13T06:21:32.518675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:32.646160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태명
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size24.0 KiB
한식
1281 
기타
265 
호프/통닭
247 
커피숍
200 
식육(숯불구이)
160 
Other values (29)
903 

Length

Max length15
Median length2
Mean length3.3406414
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 1281
41.9%
기타 265
 
8.7%
호프/통닭 247
 
8.1%
커피숍 200
 
6.5%
식육(숯불구이) 160
 
5.2%
분식 159
 
5.2%
중국식 85
 
2.8%
경양식 84
 
2.7%
정종/대포집/소주방 75
 
2.5%
편의점 61
 
2.0%
Other values (24) 439
 
14.4%

Length

2023-12-13T06:21:32.772588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1281
41.2%
기타 320
 
10.3%
호프/통닭 247
 
7.9%
커피숍 200
 
6.4%
식육(숯불구이 160
 
5.1%
분식 159
 
5.1%
중국식 85
 
2.7%
경양식 84
 
2.7%
정종/대포집/소주방 75
 
2.4%
편의점 61
 
2.0%
Other values (24) 439
 
14.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.0 KiB
Minimum2023-08-25 00:00:00
Maximum2023-08-25 00:00:00
2023-12-13T06:21:32.876410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:32.963113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T06:21:33.032411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.997
업태명0.9971.000
2023-12-13T06:21:33.109116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업종명
업태명1.0000.988
업종명0.9881.000
2023-12-13T06:21:33.200491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.988
업태명0.9881.000

Missing values

2023-12-13T06:21:28.648363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:21:28.792813image/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.
2023-12-13T06:21:28.908063image/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

업종명인허가일자업소명도로명 주소지번주소전화번호영업시작일업태명데이터기준일자
0일반음식점1997-05-16의림분식충청북도 제천시 독순로 34-1 (의림동)충청북도 제천시 의림동 173<NA>2019-05-23분식2023-08-25
1일반음식점1979-06-07대추나무집<NA>충청북도 제천시 명동 150043-644-34892006-08-28한식2023-08-25
2일반음식점1980-05-01단양식당충청북도 제천시 수산면 월악로26길 55충청북도 제천시 수산면 수산리 602-15043-642-50432022-02-04한식2023-08-25
3일반음식점1980-05-12제천식당충청북도 제천시 덕산면 약초로3길 7충청북도 제천시 덕산면 도전리 1776-44043-642-30341980-05-12한식2023-08-25
4일반음식점1980-05-12충북식당<NA>충청북도 제천시 덕산면 도전리 439043-644-05851980-05-12한식2023-08-25
5일반음식점1980-04-24상동막국수충청북도 제천시 풍양로9길 11-1 (의림동)충청북도 제천시 의림동 45-12043-643-25552005-04-11한식2023-08-25
6일반음식점1980-06-10별장식당충청북도 제천시 봉양읍 제원로 460충청북도 제천시 봉양읍 구학리 224-4043-653-1092022-08-03한식2023-08-25
7일반음식점1980-04-24유성원충청북도 제천시 칠성로10길 14 (의림동)충청북도 제천시 의림동 26-6043-644-74861996-04-29중국식2023-08-25
8일반음식점1980-04-24흑용각충청북도 제천시 숭문로2길 1 (명동)충청북도 제천시 명동 169-4 외1필지(169-6)에이동043-647-71102014-08-22중국식2023-08-25
9일반음식점1980-04-29일미식당충청북도 제천시 봉양읍 주포로4길 18충청북도 제천시 봉양읍 주포리 100-14043-642-24582004-05-20한식2023-08-25
업종명인허가일자업소명도로명 주소지번주소전화번호영업시작일업태명데이터기준일자
3046휴게음식점2022-08-05무지개 스낵충청북도 제천시 대학로14길 7-3, 1층 (신월동)충청북도 제천시 신월동 1388<NA>2022-08-05기타 휴게음식점2023-08-25
3047휴게음식점2023-02-23카페 선림충청북도 제천시 덕산면 약초로 561충청북도 제천시 덕산면 선고리 92-3043-653-57902023-02-23커피숍2023-08-25
3048휴게음식점2023-03-22세븐일레븐 제천광천점충청북도 제천시 봉양읍 북부로 1445충청북도 제천시 봉양읍 장평리 798-7<NA>2023-03-22일반조리판매2023-08-25
3049휴게음식점2023-05-18기호충청북도 제천시 독순로21길 25 (교동)충청북도 제천시 교동 140-27<NA>2023-05-18커피숍2023-08-25
3050휴게음식점2023-05-30원웨이충청북도 제천시 의림대로42길 26, 1~2층 (고암동)충청북도 제천시 고암동 1213-2<NA>2023-05-30일반조리판매2023-08-25
3051휴게음식점2023-07-14언무드(UNMOOD)충청북도 제천시 의림대로49길 26 (모산동)충청북도 제천시 모산동 132-7<NA>2023-07-14기타 휴게음식점2023-08-25
3052휴게음식점2023-07-21동그라미네모충청북도 제천시 대학로12길 5, 106호 (신월동)충청북도 제천시 신월동 1397<NA>2023-07-21일반조리판매2023-08-25
3053휴게음식점2023-07-27이마트24 R제천바이오밸리점충청북도 제천시 바이오밸리1로 54 (왕암동)충청북도 제천시 왕암동 992-1<NA>2023-07-27기타 휴게음식점2023-08-25
3054휴게음식점2023-08-14컴포즈커피 충북제천역점충청북도 제천시 의림대로2길 3, 1층 (화산동)충청북도 제천시 화산동 208-12043-645-42032023-08-14커피숍2023-08-25
3055제과점영업2022-11-28슈슈제과충청북도 제천시 고암로4길 9-1, 1층 (청전동)충청북도 제천시 청전동 597-12<NA>2022-11-28제과점영업2023-08-25

Duplicate rows

Most frequently occurring

업종명인허가일자업소명도로명 주소지번주소전화번호영업시작일업태명데이터기준일자# duplicates
0일반음식점1980-04-20금화식당충청북도 제천시 송학면 무도길 3충청북도 제천시 송학면 무도리 210-12043-642-70102015-04-15한식2023-08-252
1일반음식점1980-04-24기운찬국수충청북도 제천시 용두천로 108-8 (남천동,(1층))충청북도 제천시 남천동 354 (1층)043-653-29292019-06-14한식2023-08-252
2일반음식점1980-04-24남도아구찜충청북도 제천시 풍양로 76 (명동)충청북도 제천시 명동 6-2043-643-26442022-07-25한식2023-08-252
3일반음식점1980-04-24청해짬뽕충청북도 제천시 내제로 68, 1층 (서부동)충청북도 제천시 서부동 805043-644-26232008-07-18중국식2023-08-252
4일반음식점1980-04-29일미식당충청북도 제천시 봉양읍 주포로4길 18충청북도 제천시 봉양읍 주포리 100-14043-642-24582004-05-20한식2023-08-252
5일반음식점1983-09-15강원한우소내장탕충청북도 제천시 내토로28길 8-1 (화산동)충청북도 제천시 화산동 208-7043-643-72202019-09-10한식2023-08-252
6일반음식점1983-09-16조은식당충청북도 제천시 칠성로10길 11-1 (의림동)충청북도 제천시 의림동 7-29043-642-54592013-12-10한식2023-08-252
7일반음식점1984-11-23술잔비여충청북도 제천시 독순로11길 11 (의림동)충청북도 제천시 의림동 38-7043-652-07002015-10-08한식2023-08-252
8일반음식점1985-05-07산처녀식당충청북도 제천시 용두천로14길 4, 1층 (교동)충청북도 제천시 교동 133-7043-643-60952021-08-10한식2023-08-252
9일반음식점1985-05-11민들레촌충청북도 제천시 명륜로16길 2 (중앙로2가)충청북도 제천시 중앙로2가 79-22043-647-05772023-03-07한식2023-08-252