Overview

Dataset statistics

Number of variables6
Number of observations2888
Missing cells1565
Missing cells (%)9.0%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory135.5 KiB
Average record size in memory48.0 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description북구 관내 식품관련업(건강기능식품일반판매업, 건강기능식품유통전문판매업, 식품제가공업, 식품소분업 등) 현황 정보를 제공합니다
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15006389/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
전화번호 has 1565 (54.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:09:39.514594
Analysis finished2023-12-12 10:09:40.648551
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
건강기능식품일반판매업
898 
즉석판매제조가공업
777 
식품제조가공업
277 
집단급식소 식품판매업
270 
식품자동판매기영업
258 
Other values (11)
408 

Length

Max length13
Median length11
Mean length9.2510388
Min length5

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 898
31.1%
즉석판매제조가공업 777
26.9%
식품제조가공업 277
 
9.6%
집단급식소 식품판매업 270
 
9.3%
식품자동판매기영업 258
 
8.9%
식품소분업 146
 
5.1%
유통전문판매업 118
 
4.1%
기타식품판매업 51
 
1.8%
위탁급식영업 39
 
1.4%
식품운반업 20
 
0.7%
Other values (6) 34
 
1.2%

Length

2023-12-12T19:09:40.732173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건강기능식품일반판매업 898
28.4%
즉석판매제조가공업 777
24.6%
식품제조가공업 277
 
8.8%
집단급식소 270
 
8.5%
식품판매업 270
 
8.5%
식품자동판매기영업 258
 
8.2%
식품소분업 146
 
4.6%
유통전문판매업 118
 
3.7%
기타식품판매업 51
 
1.6%
위탁급식영업 39
 
1.2%
Other values (7) 54
 
1.7%

업소명
Text

Distinct2581
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-12T19:09:41.007531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length6.6724377
Min length2

Characters and Unicode

Total characters19270
Distinct characters721
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2332 ?
Unique (%)80.7%

Sample

1st row더나은주식회사
2nd row제이에스헬스케어
3rd row면역플러스 주식회사
4th row르-보네르
5th row모닝푸
ValueCountFrequency (%)
주식회사 100
 
3.1%
중앙수산 12
 
0.4%
판매팀 12
 
0.4%
세븐일레븐 12
 
0.4%
애터미 10
 
0.3%
서울떡집 8
 
0.2%
대구북구공무원노동조합 6
 
0.2%
농업회사법인 6
 
0.2%
씨유 5
 
0.2%
궁중떡집 5
 
0.2%
Other values (2699) 3043
94.5%
2023-12-12T19:09:41.600555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 475
 
2.5%
( 472
 
2.4%
주 444
 
2.3%
이 426
 
2.2%
점 424
 
2.2%
대 419
 
2.2%
식 389
 
2.0%
구 334
 
1.7%
331
 
1.7%
스 323
 
1.7%
Other values (711) 15233
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17010
88.3%
Close Punctuation 475
 
2.5%
Open Punctuation 472
 
2.4%
Uppercase Letter 364
 
1.9%
Space Separator 331
 
1.7%
Lowercase Letter 312
 
1.6%
Decimal Number 250
 
1.3%
Other Punctuation 44
 
0.2%
Dash Punctuation 9
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 444
 
2.6%
이 426
 
2.5%
점 424
 
2.5%
대 419
 
2.5%
식 389
 
2.3%
구 334
 
2.0%
스 323
 
1.9%
드 322
 
1.9%
사 293
 
1.7%
푸 281
 
1.7%
Other values (639) 13355
78.5%
Uppercase Letter
ValueCountFrequency (%)
S 45
 
12.4%
C 30
 
8.2%
O 26
 
7.1%
G 25
 
6.9%
E 20
 
5.5%
U 20
 
5.5%
F 19
 
5.2%
B 18
 
4.9%
L 17
 
4.7%
H 16
 
4.4%
Other values (15) 128
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 38
 
12.2%
o 33
 
10.6%
a 25
 
8.0%
i 19
 
6.1%
m 18
 
5.8%
l 18
 
5.8%
r 17
 
5.4%
t 17
 
5.4%
n 16
 
5.1%
s 15
 
4.8%
Other values (14) 96
30.8%
Decimal Number
ValueCountFrequency (%)
2 77
30.8%
4 40
16.0%
1 40
16.0%
5 31
12.4%
3 14
 
5.6%
7 14
 
5.6%
0 12
 
4.8%
8 11
 
4.4%
6 6
 
2.4%
9 5
 
2.0%
Other Punctuation
ValueCountFrequency (%)
& 19
43.2%
. 14
31.8%
! 4
 
9.1%
' 3
 
6.8%
/ 1
 
2.3%
; 1
 
2.3%
: 1
 
2.3%
? 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 475
100.0%
Open Punctuation
ValueCountFrequency (%)
( 472
100.0%
Space Separator
ValueCountFrequency (%)
331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17008
88.3%
Common 1584
 
8.2%
Latin 676
 
3.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 444
 
2.6%
이 426
 
2.5%
점 424
 
2.5%
대 419
 
2.5%
식 389
 
2.3%
구 334
 
2.0%
스 323
 
1.9%
드 322
 
1.9%
사 293
 
1.7%
푸 281
 
1.7%
Other values (637) 13353
78.5%
Latin
ValueCountFrequency (%)
S 45
 
6.7%
e 38
 
5.6%
o 33
 
4.9%
C 30
 
4.4%
O 26
 
3.8%
G 25
 
3.7%
a 25
 
3.7%
E 20
 
3.0%
U 20
 
3.0%
F 19
 
2.8%
Other values (39) 395
58.4%
Common
ValueCountFrequency (%)
) 475
30.0%
( 472
29.8%
331
20.9%
2 77
 
4.9%
4 40
 
2.5%
1 40
 
2.5%
5 31
 
2.0%
& 19
 
1.2%
3 14
 
0.9%
7 14
 
0.9%
Other values (13) 71
 
4.5%
Han
ValueCountFrequency (%)
大 1
50.0%
好 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17008
88.3%
ASCII 2260
 
11.7%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 475
21.0%
( 472
20.9%
331
14.6%
2 77
 
3.4%
S 45
 
2.0%
4 40
 
1.8%
1 40
 
1.8%
e 38
 
1.7%
o 33
 
1.5%
5 31
 
1.4%
Other values (62) 678
30.0%
Hangul
ValueCountFrequency (%)
주 444
 
2.6%
이 426
 
2.5%
점 424
 
2.5%
대 419
 
2.5%
식 389
 
2.3%
구 334
 
2.0%
스 323
 
1.9%
드 322
 
1.9%
사 293
 
1.7%
푸 281
 
1.7%
Other values (637) 13353
78.5%
CJK
ValueCountFrequency (%)
大 1
50.0%
好 1
50.0%

소재지도로명주소
Text

Distinct2550
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-12T19:09:42.018022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length53
Mean length31.503463
Min length1

Characters and Unicode

Total characters90982
Distinct characters351
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

Unique2323 ?
Unique (%)80.4%

Sample

1st row대구광역시 북구 팔달로41길 80 지하1층 (노원동2가)
2nd row대구광역시 북구 노원동로11길 7-3 2층 (노원동3가)
3rd row대구광역시 북구 유통단지로 25 전자상가 5동 306호 (산격동)
4th row대구광역시 북구 구암로60길 8-13 1층 (구암동)
5th row대구광역시 북구 대현로3길 5-9 4층 (대현동)
ValueCountFrequency (%)
대구광역시 2881
 
15.6%
북구 2879
 
15.6%
1층 958
 
5.2%
산격동 311
 
1.7%
태전동 246
 
1.3%
2층 209
 
1.1%
매천동 206
 
1.1%
침산동 184
 
1.0%
동천동 165
 
0.9%
구암동 163
 
0.9%
Other values (2089) 10291
55.6%
2023-12-12T19:09:42.705783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18175
20.0%
구 6169
 
6.8%
1 4743
 
5.2%
동 4231
 
4.7%
대 3634
 
4.0%
시 3067
 
3.4%
북 3060
 
3.4%
( 2927
 
3.2%
) 2927
 
3.2%
역 2907
 
3.2%
Other values (341) 39142
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50468
55.5%
Space Separator 18175
 
20.0%
Decimal Number 15552
 
17.1%
Open Punctuation 2927
 
3.2%
Close Punctuation 2927
 
3.2%
Dash Punctuation 740
 
0.8%
Uppercase Letter 183
 
0.2%
Other Punctuation 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6169
 
12.2%
동 4231
 
8.4%
대 3634
 
7.2%
시 3067
 
6.1%
북 3060
 
6.1%
역 2907
 
5.8%
광 2886
 
5.7%
로 2769
 
5.5%
길 1584
 
3.1%
층 1441
 
2.9%
Other values (307) 18720
37.1%
Uppercase Letter
ValueCountFrequency (%)
A 72
39.3%
B 62
33.9%
D 10
 
5.5%
C 8
 
4.4%
E 7
 
3.8%
T 5
 
2.7%
H 5
 
2.7%
L 3
 
1.6%
P 3
 
1.6%
S 3
 
1.6%
Other values (4) 5
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 4743
30.5%
2 2216
14.2%
0 1755
 
11.3%
3 1710
 
11.0%
5 1074
 
6.9%
4 1043
 
6.7%
6 839
 
5.4%
8 793
 
5.1%
7 779
 
5.0%
9 600
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
/ 1
 
16.7%
@ 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
18175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2927
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2927
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 740
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50468
55.5%
Common 40328
44.3%
Latin 186
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6169
 
12.2%
동 4231
 
8.4%
대 3634
 
7.2%
시 3067
 
6.1%
북 3060
 
6.1%
역 2907
 
5.8%
광 2886
 
5.7%
로 2769
 
5.5%
길 1584
 
3.1%
층 1441
 
2.9%
Other values (307) 18720
37.1%
Common
ValueCountFrequency (%)
18175
45.1%
1 4743
 
11.8%
( 2927
 
7.3%
) 2927
 
7.3%
2 2216
 
5.5%
0 1755
 
4.4%
3 1710
 
4.2%
5 1074
 
2.7%
4 1043
 
2.6%
6 839
 
2.1%
Other values (8) 2919
 
7.2%
Latin
ValueCountFrequency (%)
A 72
38.7%
B 62
33.3%
D 10
 
5.4%
C 8
 
4.3%
E 7
 
3.8%
T 5
 
2.7%
H 5
 
2.7%
L 3
 
1.6%
P 3
 
1.6%
S 3
 
1.6%
Other values (6) 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50468
55.5%
ASCII 40514
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18175
44.9%
1 4743
 
11.7%
( 2927
 
7.2%
) 2927
 
7.2%
2 2216
 
5.5%
0 1755
 
4.3%
3 1710
 
4.2%
5 1074
 
2.7%
4 1043
 
2.6%
6 839
 
2.1%
Other values (24) 3105
 
7.7%
Hangul
ValueCountFrequency (%)
구 6169
 
12.2%
동 4231
 
8.4%
대 3634
 
7.2%
시 3067
 
6.1%
북 3060
 
6.1%
역 2907
 
5.8%
광 2886
 
5.7%
로 2769
 
5.5%
길 1584
 
3.1%
층 1441
 
2.9%
Other values (307) 18720
37.1%

소재지지번주소
Text

Distinct2027
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-12T19:09:43.103026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length21.70464
Min length1

Characters and Unicode

Total characters62683
Distinct characters303
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

Unique1600 ?
Unique (%)55.4%

Sample

1st row대구광역시 북구 노원동2가 73-2
2nd row대구광역시 북구 노원동3가 1145-4
3rd row대구광역시 북구 산격동 1626 전자상가
4th row대구광역시 북구 구암동 819-10
5th row대구광역시 북구 대현동 258-6
ValueCountFrequency (%)
대구광역시 2885
22.6%
북구 2883
22.5%
산격동 313
 
2.4%
태전동 247
 
1.9%
매천동 206
 
1.6%
침산동 183
 
1.4%
구암동 166
 
1.3%
동천동 165
 
1.3%
읍내동 144
 
1.1%
칠성동2가 142
 
1.1%
Other values (2278) 5459
42.7%
2023-12-12T19:09:43.731891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12742
20.3%
구 6021
 
9.6%
동 3281
 
5.2%
대 3113
 
5.0%
시 2964
 
4.7%
역 2911
 
4.6%
북 2911
 
4.6%
광 2889
 
4.6%
1 2775
 
4.4%
- 1955
 
3.1%
Other values (293) 21121
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34935
55.7%
Decimal Number 12862
 
20.5%
Space Separator 12742
 
20.3%
Dash Punctuation 1955
 
3.1%
Uppercase Letter 85
 
0.1%
Open Punctuation 49
 
0.1%
Close Punctuation 49
 
0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6021
17.2%
동 3281
 
9.4%
대 3113
 
8.9%
시 2964
 
8.5%
역 2911
 
8.3%
북 2911
 
8.3%
광 2889
 
8.3%
산 612
 
1.8%
가 573
 
1.6%
천 400
 
1.1%
Other values (264) 9260
26.5%
Uppercase Letter
ValueCountFrequency (%)
B 34
40.0%
A 24
28.2%
D 6
 
7.1%
H 4
 
4.7%
T 3
 
3.5%
C 3
 
3.5%
P 3
 
3.5%
S 3
 
3.5%
L 2
 
2.4%
M 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 2775
21.6%
2 1719
13.4%
3 1375
10.7%
7 1156
9.0%
5 1047
 
8.1%
6 1026
 
8.0%
0 1016
 
7.9%
8 958
 
7.4%
4 907
 
7.1%
9 883
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
@ 1
25.0%
/ 1
25.0%
Space Separator
ValueCountFrequency (%)
12742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1955
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34935
55.7%
Common 27661
44.1%
Latin 87
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6021
17.2%
동 3281
 
9.4%
대 3113
 
8.9%
시 2964
 
8.5%
역 2911
 
8.3%
북 2911
 
8.3%
광 2889
 
8.3%
산 612
 
1.8%
가 573
 
1.6%
천 400
 
1.1%
Other values (264) 9260
26.5%
Common
ValueCountFrequency (%)
12742
46.1%
1 2775
 
10.0%
- 1955
 
7.1%
2 1719
 
6.2%
3 1375
 
5.0%
7 1156
 
4.2%
5 1047
 
3.8%
6 1026
 
3.7%
0 1016
 
3.7%
8 958
 
3.5%
Other values (7) 1892
 
6.8%
Latin
ValueCountFrequency (%)
B 34
39.1%
A 24
27.6%
D 6
 
6.9%
H 4
 
4.6%
T 3
 
3.4%
C 3
 
3.4%
P 3
 
3.4%
S 3
 
3.4%
L 2
 
2.3%
e 2
 
2.3%
Other values (2) 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34935
55.7%
ASCII 27748
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12742
45.9%
1 2775
 
10.0%
- 1955
 
7.0%
2 1719
 
6.2%
3 1375
 
5.0%
7 1156
 
4.2%
5 1047
 
3.8%
6 1026
 
3.7%
0 1016
 
3.7%
8 958
 
3.5%
Other values (19) 1979
 
7.1%
Hangul
ValueCountFrequency (%)
구 6021
17.2%
동 3281
 
9.4%
대 3113
 
8.9%
시 2964
 
8.5%
역 2911
 
8.3%
북 2911
 
8.3%
광 2889
 
8.3%
산 612
 
1.8%
가 573
 
1.6%
천 400
 
1.1%
Other values (264) 9260
26.5%

전화번호
Text

MISSING 

Distinct1188
Distinct (%)89.8%
Missing1565
Missing (%)54.2%
Memory size22.7 KiB
2023-12-12T19:09:44.077499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.020408
Min length9

Characters and Unicode

Total characters15903
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

Unique1086 ?
Unique (%)82.1%

Sample

1st row070-4110-7099
2nd row053-351-0002
3rd row053-719-0552
4th row053-324-2112
5th row053-755-3341
ValueCountFrequency (%)
053-313-8885 9
 
0.7%
053-665-2630 7
 
0.5%
053-943-9661 6
 
0.5%
053-267-3737 4
 
0.3%
053-609-1052 3
 
0.2%
053-607-8124 3
 
0.2%
053-381-5601 3
 
0.2%
053-951-0101 3
 
0.2%
053-660-2500 3
 
0.2%
053-323-1401 3
 
0.2%
Other values (1178) 1279
96.7%
2023-12-12T19:09:44.588863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2820
17.7%
- 2642
16.6%
5 2291
14.4%
0 2118
13.3%
2 1265
8.0%
1 1105
 
6.9%
4 820
 
5.2%
8 737
 
4.6%
9 714
 
4.5%
7 709
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13261
83.4%
Dash Punctuation 2642
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2820
21.3%
5 2291
17.3%
0 2118
16.0%
2 1265
9.5%
1 1105
 
8.3%
4 820
 
6.2%
8 737
 
5.6%
9 714
 
5.4%
7 709
 
5.3%
6 682
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 2642
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2820
17.7%
- 2642
16.6%
5 2291
14.4%
0 2118
13.3%
2 1265
8.0%
1 1105
 
6.9%
4 820
 
5.2%
8 737
 
4.6%
9 714
 
4.5%
7 709
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2820
17.7%
- 2642
16.6%
5 2291
14.4%
0 2118
13.3%
2 1265
8.0%
1 1105
 
6.9%
4 820
 
5.2%
8 737
 
4.6%
9 714
 
4.5%
7 709
 
4.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
Minimum2023-09-08 00:00:00
Maximum2023-09-08 00:00:00
2023-12-12T19:09:44.755260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:09:44.900417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T19:09:40.441535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:09:40.588376image/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

업종명업소명소재지도로명주소소재지지번주소전화번호데이터기준일자
0건강기능식품유통전문판매업더나은주식회사대구광역시 북구 팔달로41길 80 지하1층 (노원동2가)대구광역시 북구 노원동2가 73-2<NA>2023-09-08
1건강기능식품유통전문판매업제이에스헬스케어대구광역시 북구 노원동로11길 7-3 2층 (노원동3가)대구광역시 북구 노원동3가 1145-4<NA>2023-09-08
2건강기능식품유통전문판매업면역플러스 주식회사대구광역시 북구 유통단지로 25 전자상가 5동 306호 (산격동)대구광역시 북구 산격동 1626 전자상가<NA>2023-09-08
3건강기능식품유통전문판매업르-보네르대구광역시 북구 구암로60길 8-13 1층 (구암동)대구광역시 북구 구암동 819-10<NA>2023-09-08
4건강기능식품유통전문판매업모닝푸대구광역시 북구 대현로3길 5-9 4층 (대현동)대구광역시 북구 대현동 258-6070-4110-70992023-09-08
5건강기능식품유통전문판매업(주)쿠빙스대구광역시 북구 노원로 280 (침산동)대구광역시 북구 침산동 679053-351-00022023-09-08
6건강기능식품유통전문판매업주식회사 디피제이대구광역시 북구 호국로 233 4층 (서변동)대구광역시 북구 서변동 1783-1053-719-05522023-09-08
7건강기능식품유통전문판매업지에이치피컴퍼니대구광역시 북구 연암공원로20길 26 2층 (산격동)대구광역시 북구 산격동 1190-2<NA>2023-09-08
8건강기능식품유통전문판매업(주)뉴트리션닥터스대구광역시 북구 호국로51길 5 402호 (서변동)대구광역시 북구 서변동 1779<NA>2023-09-08
9건강기능식품유통전문판매업(주)아우라(북대구지점)대구광역시 북구 학정로 415 메가타운 10층 (동천동)대구광역시 북구 동천동 912-3 메가타운053-324-21122023-09-08
업종명업소명소재지도로명주소소재지지번주소전화번호데이터기준일자
2878집단급식소 식품판매업대한축산대구광역시 북구 동변로24길 40 (동변동)대구광역시 북구 동변동 617-63053-7816-3432023-09-08
2879집단급식소 식품판매업덕원유통대구광역시 북구 칠곡중앙대로 30 4층 (팔달동)대구광역시 북구 팔달동 산 12-4053-313-39372023-09-08
2880집단급식소 식품판매업온담푸드대구광역시 북구 칠곡중앙대로 126 101호 (매천동)대구광역시 북구 매천동 269-18<NA>2023-09-08
2881집단급식소 식품판매업해들푸드대구광역시 북구 한강로8길 7-8 1층 (금호동)대구광역시 북구 금호동 787<NA>2023-09-08
2882집단급식소 식품판매업일오삼유통대구광역시 북구 관음중앙로28길 34-1 (관음동)대구광역시 북구 관음동 227<NA>2023-09-08
2883집단급식소 식품판매업(주)다솜유통대구광역시 북구 구암로60길 3-15 1층 (구암동)대구광역시 북구 구암동 815-3053-323-66882023-09-08
2884집단급식소 식품판매업프레시쿡대구광역시 북구 칠성남로30길 41 1(일부)층 (칠성동2가)대구광역시 북구 칠성동2가 302-108<NA>2023-09-08
2885집단급식소 식품판매업대림식재료주식회사대구광역시 북구 칠곡중앙대로46길 35 1층 (태전동)대구광역시 북구 태전동 612-11053-314-47782023-09-08
2886집단급식소 식품판매업로얄푸드대구광역시 북구 한강로8길 13 1층 106호 (금호동)대구광역시 북구 금호동 798<NA>2023-09-08
2887집단급식소 식품판매업대아푸드대구광역시 북구 학정로48길 40-6 1층 (구암동)대구광역시 북구 구암동 520-4<NA>2023-09-08

Duplicate rows

Most frequently occurring

업종명업소명소재지도로명주소소재지지번주소전화번호데이터기준일자# duplicates
1식품자동판매기영업이글골프클럽대구광역시 북구 유통단지로13길 46 (산격동 이글골프클럽)대구광역시 북구 산격동 14-22 이글골프클럽053-383-07072023-09-083
0식품자동판매기영업대성LPG대구광역시 북구 침산로 60 (칠성동2가)대구광역시 북구 칠성동2가 66053-637-45782023-09-082
2즉석판매제조가공업소반대구광역시 북구 학정로 80 1층 (태전동)대구광역시 북구 태전동 454-3053-322-45452023-09-082