Overview

Dataset statistics

Number of variables5
Number of observations2845
Missing cells73
Missing cells (%)0.5%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory111.3 KiB
Average record size in memory40.0 B

Variable types

Text4
Categorical1

Dataset

Description경상남도 내 의료기기 판매업체 현황에 대한 데이터로, 시군, 신고일자, 업체명, 소재지에 대한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15017515

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 23:39:28.216339
Analysis finished2023-12-10 23:39:29.012598
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2828
Distinct (%)100.0%
Missing17
Missing (%)0.6%
Memory size22.4 KiB
2023-12-11T08:39:29.288342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length456
Median length4
Mean length3.7676803
Min length1

Characters and Unicode

Total characters10655
Distinct characters113
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2828 ?
Unique (%)100.0%

Sample

1st row연번
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
12
 
0.4%
작성 5
 
0.2%
업체 3
 
0.1%
기준 3
 
0.1%
제32호 2
 
0.1%
’19.12.31 2
 
0.1%
시·군·구 2
 
0.1%
영업행위를 2
 
0.1%
기재 2
 
0.1%
상태가 2
 
0.1%
Other values (2879) 2894
98.8%
2023-12-11T08:39:29.813412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1883
17.7%
2 1703
16.0%
3 869
8.2%
6 864
8.1%
4 864
8.1%
5 864
8.1%
7 863
8.1%
8 790
7.4%
9 765
7.2%
0 762
7.2%
Other values (103) 428
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10227
96.0%
Other Letter 245
 
2.3%
Space Separator 114
 
1.1%
Other Punctuation 38
 
0.4%
Control 10
 
0.1%
Final Punctuation 7
 
0.1%
Initial Punctuation 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
6.9%
11
 
4.5%
10
 
4.1%
8
 
3.3%
7
 
2.9%
7
 
2.9%
6
 
2.4%
6
 
2.4%
6
 
2.4%
6
 
2.4%
Other values (79) 161
65.7%
Decimal Number
ValueCountFrequency (%)
1 1883
18.4%
2 1703
16.7%
3 869
8.5%
6 864
8.4%
4 864
8.4%
5 864
8.4%
7 863
8.4%
8 790
7.7%
9 765
7.5%
0 762
7.5%
Other Punctuation
ValueCountFrequency (%)
. 14
36.8%
: 8
21.1%
· 8
21.1%
, 7
18.4%
/ 1
 
2.6%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Control
ValueCountFrequency (%)
10
100.0%
Final Punctuation
ValueCountFrequency (%)
7
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10410
97.7%
Hangul 245
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
6.9%
11
 
4.5%
10
 
4.1%
8
 
3.3%
7
 
2.9%
7
 
2.9%
6
 
2.4%
6
 
2.4%
6
 
2.4%
6
 
2.4%
Other values (79) 161
65.7%
Common
ValueCountFrequency (%)
1 1883
18.1%
2 1703
16.4%
3 869
8.3%
6 864
8.3%
4 864
8.3%
5 864
8.3%
7 863
8.3%
8 790
7.6%
9 765
7.3%
0 762
7.3%
Other values (14) 183
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10391
97.5%
Hangul 245
 
2.3%
Punctuation 11
 
0.1%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1883
18.1%
2 1703
16.4%
3 869
8.4%
6 864
8.3%
4 864
8.3%
5 864
8.3%
7 863
8.3%
8 790
7.6%
9 765
7.4%
0 762
7.3%
Other values (11) 164
 
1.6%
Hangul
ValueCountFrequency (%)
17
 
6.9%
11
 
4.5%
10
 
4.1%
8
 
3.3%
7
 
2.9%
7
 
2.9%
6
 
2.4%
6
 
2.4%
6
 
2.4%
6
 
2.4%
Other values (79) 161
65.7%
None
ValueCountFrequency (%)
· 8
100.0%
Punctuation
ValueCountFrequency (%)
7
63.6%
4
36.4%

Unnamed: 1
Categorical

Distinct22
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size22.4 KiB
창원시 창원
611 
진주시
464 
창원시 마산
457 
김해시
421 
양산시
267 
Other values (17)
625 

Length

Max length6
Median length3
Mean length4.2653779
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row시·군
4th row창원시 창원
5th row창원시 창원

Common Values

ValueCountFrequency (%)
창원시 창원 611
21.5%
진주시 464
16.3%
창원시 마산 457
16.1%
김해시 421
14.8%
양산시 267
9.4%
거제시 133
 
4.7%
창원시 진해 126
 
4.4%
사천시 81
 
2.8%
통영시 48
 
1.7%
밀양시 47
 
1.7%
Other values (12) 190
 
6.7%

Length

2023-12-11T08:39:29.944654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 1194
29.6%
창원 611
15.1%
진주시 464
 
11.5%
마산 457
 
11.3%
김해시 421
 
10.4%
양산시 267
 
6.6%
거제시 133
 
3.3%
진해 126
 
3.1%
사천시 81
 
2.0%
통영시 48
 
1.2%
Other values (13) 237
 
5.9%
Distinct1894
Distinct (%)67.0%
Missing18
Missing (%)0.6%
Memory size22.4 KiB
2023-12-11T08:39:30.211096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.018748
Min length4

Characters and Unicode

Total characters28323
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1328 ?
Unique (%)47.0%

Sample

1st row신고일자
2nd row1993-09-23
3rd row1995-05-24
4th row1996-04-24
5th row1996-08-14
ValueCountFrequency (%)
2014-11-14 21
 
0.7%
2014-11-17 13
 
0.5%
2014-11-11 11
 
0.4%
2014-11-10 9
 
0.3%
2008-12-12 8
 
0.3%
2014-11-21 8
 
0.3%
2014-12-03 8
 
0.3%
2014-12-04 8
 
0.3%
2014-11-13 7
 
0.2%
5 7
 
0.2%
Other values (1890) 2785
96.5%
2023-12-11T08:39:30.679225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6947
24.5%
- 5572
19.7%
2 4933
17.4%
1 4868
17.2%
9 974
 
3.4%
4 871
 
3.1%
6 827
 
2.9%
7 814
 
2.9%
8 797
 
2.8%
3 773
 
2.7%
Other values (7) 947
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22569
79.7%
Dash Punctuation 5572
 
19.7%
Other Punctuation 120
 
0.4%
Space Separator 58
 
0.2%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6947
30.8%
2 4933
21.9%
1 4868
21.6%
9 974
 
4.3%
4 871
 
3.9%
6 827
 
3.7%
7 814
 
3.6%
8 797
 
3.5%
3 773
 
3.4%
5 765
 
3.4%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 5572
100.0%
Other Punctuation
ValueCountFrequency (%)
. 120
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28319
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6947
24.5%
- 5572
19.7%
2 4933
17.4%
1 4868
17.2%
9 974
 
3.4%
4 871
 
3.1%
6 827
 
2.9%
7 814
 
2.9%
8 797
 
2.8%
3 773
 
2.7%
Other values (3) 943
 
3.3%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28319
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6947
24.5%
- 5572
19.7%
2 4933
17.4%
1 4868
17.2%
9 974
 
3.4%
4 871
 
3.1%
6 827
 
2.9%
7 814
 
2.9%
8 797
 
2.8%
3 773
 
2.7%
Other values (3) 943
 
3.3%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct2669
Distinct (%)94.4%
Missing18
Missing (%)0.6%
Memory size22.4 KiB
2023-12-11T08:39:30.966004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length8.0095508
Min length2

Characters and Unicode

Total characters22643
Distinct characters635
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2574 ?
Unique (%)91.1%

Sample

1st row업체명
2nd row홍익상사
3rd row텃밭의료기상사
4th row서해통상
5th row성준메딕스
ValueCountFrequency (%)
gs25 76
 
2.1%
주식회사 63
 
1.7%
씨유 29
 
0.8%
주)하이프라자 21
 
0.6%
주)아성다이소 17
 
0.5%
세븐일레븐 16
 
0.4%
타파웨어 14
 
0.4%
의료기 13
 
0.4%
바디닥터 13
 
0.4%
롯데하이마트(주 12
 
0.3%
Other values (2823) 3408
92.6%
2023-12-11T08:39:31.376434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
917
 
4.0%
856
 
3.8%
585
 
2.6%
580
 
2.6%
547
 
2.4%
532
 
2.3%
467
 
2.1%
) 458
 
2.0%
( 448
 
2.0%
399
 
1.8%
Other values (625) 16854
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19243
85.0%
Space Separator 856
 
3.8%
Uppercase Letter 793
 
3.5%
Decimal Number 517
 
2.3%
Close Punctuation 458
 
2.0%
Open Punctuation 448
 
2.0%
Lowercase Letter 191
 
0.8%
Other Symbol 77
 
0.3%
Other Punctuation 52
 
0.2%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
917
 
4.8%
585
 
3.0%
580
 
3.0%
547
 
2.8%
532
 
2.8%
467
 
2.4%
399
 
2.1%
396
 
2.1%
386
 
2.0%
286
 
1.5%
Other values (556) 14148
73.5%
Uppercase Letter
ValueCountFrequency (%)
S 242
30.5%
G 224
28.2%
C 47
 
5.9%
H 31
 
3.9%
M 29
 
3.7%
U 26
 
3.3%
O 23
 
2.9%
B 22
 
2.8%
D 16
 
2.0%
J 15
 
1.9%
Other values (15) 118
14.9%
Lowercase Letter
ValueCountFrequency (%)
e 29
15.2%
a 20
10.5%
t 16
 
8.4%
i 14
 
7.3%
c 14
 
7.3%
l 14
 
7.3%
n 12
 
6.3%
d 11
 
5.8%
s 9
 
4.7%
m 8
 
4.2%
Other values (13) 44
23.0%
Decimal Number
ValueCountFrequency (%)
2 229
44.3%
5 228
44.1%
3 23
 
4.4%
1 13
 
2.5%
0 9
 
1.7%
6 7
 
1.4%
4 3
 
0.6%
7 2
 
0.4%
8 2
 
0.4%
9 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 26
50.0%
& 17
32.7%
, 5
 
9.6%
/ 3
 
5.8%
· 1
 
1.9%
Space Separator
ValueCountFrequency (%)
856
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 448
100.0%
Other Symbol
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19320
85.3%
Common 2339
 
10.3%
Latin 984
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
917
 
4.7%
585
 
3.0%
580
 
3.0%
547
 
2.8%
532
 
2.8%
467
 
2.4%
399
 
2.1%
396
 
2.0%
386
 
2.0%
286
 
1.5%
Other values (557) 14225
73.6%
Latin
ValueCountFrequency (%)
S 242
24.6%
G 224
22.8%
C 47
 
4.8%
H 31
 
3.2%
M 29
 
2.9%
e 29
 
2.9%
U 26
 
2.6%
O 23
 
2.3%
B 22
 
2.2%
a 20
 
2.0%
Other values (38) 291
29.6%
Common
ValueCountFrequency (%)
856
36.6%
) 458
19.6%
( 448
19.2%
2 229
 
9.8%
5 228
 
9.7%
. 26
 
1.1%
3 23
 
1.0%
& 17
 
0.7%
1 13
 
0.6%
0 9
 
0.4%
Other values (10) 32
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19243
85.0%
ASCII 3322
 
14.7%
None 78
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
917
 
4.8%
585
 
3.0%
580
 
3.0%
547
 
2.8%
532
 
2.8%
467
 
2.4%
399
 
2.1%
396
 
2.1%
386
 
2.0%
286
 
1.5%
Other values (556) 14148
73.5%
ASCII
ValueCountFrequency (%)
856
25.8%
) 458
13.8%
( 448
13.5%
S 242
 
7.3%
2 229
 
6.9%
5 228
 
6.9%
G 224
 
6.7%
C 47
 
1.4%
H 31
 
0.9%
M 29
 
0.9%
Other values (57) 530
16.0%
None
ValueCountFrequency (%)
77
98.7%
· 1
 
1.3%
Distinct2693
Distinct (%)95.3%
Missing20
Missing (%)0.7%
Memory size22.4 KiB
2023-12-11T08:39:31.798638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length24.760708
Min length3

Characters and Unicode

Total characters69949
Distinct characters474
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2591 ?
Unique (%)91.7%

Sample

1st row( '21.2월말 단위 : 개소)
2nd row소재지
3rd row창원시 의창구 도계로107번길 6 (도계동)
4th row창원시 의창구 의창대로211번길 2 (서상동)
5th row창원시 의창구 의안로27번길 2 (중동)
ValueCountFrequency (%)
창원시 1191
 
8.1%
진주시 461
 
3.1%
김해시 421
 
2.9%
의창구 363
 
2.5%
1층 271
 
1.8%
양산시 267
 
1.8%
성산구 247
 
1.7%
마산합포구 228
 
1.5%
마산회원구 227
 
1.5%
2층 220
 
1.5%
Other values (3396) 10832
73.5%
2023-12-11T08:39:32.363496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11944
 
17.1%
1 3130
 
4.5%
2891
 
4.1%
2714
 
3.9%
2435
 
3.5%
) 2334
 
3.3%
( 2332
 
3.3%
2 1910
 
2.7%
1795
 
2.6%
1769
 
2.5%
Other values (464) 36695
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38400
54.9%
Decimal Number 12568
 
18.0%
Space Separator 11944
 
17.1%
Close Punctuation 2334
 
3.3%
Open Punctuation 2332
 
3.3%
Other Punctuation 1664
 
2.4%
Dash Punctuation 545
 
0.8%
Uppercase Letter 125
 
0.2%
Lowercase Letter 29
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2891
 
7.5%
2714
 
7.1%
2435
 
6.3%
1795
 
4.7%
1769
 
4.6%
1367
 
3.6%
1259
 
3.3%
1172
 
3.1%
939
 
2.4%
904
 
2.4%
Other values (406) 21155
55.1%
Uppercase Letter
ValueCountFrequency (%)
B 23
18.4%
A 16
12.8%
L 14
11.2%
C 11
8.8%
G 9
 
7.2%
N 8
 
6.4%
D 6
 
4.8%
F 4
 
3.2%
O 4
 
3.2%
S 4
 
3.2%
Other values (14) 26
20.8%
Decimal Number
ValueCountFrequency (%)
1 3130
24.9%
2 1910
15.2%
3 1336
10.6%
0 1223
 
9.7%
4 1089
 
8.7%
5 1022
 
8.1%
6 807
 
6.4%
8 690
 
5.5%
7 684
 
5.4%
9 677
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
i 5
17.2%
a 5
17.2%
t 4
13.8%
l 4
13.8%
y 3
10.3%
g 3
10.3%
m 2
 
6.9%
k 1
 
3.4%
p 1
 
3.4%
r 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 1587
95.4%
· 62
 
3.7%
. 6
 
0.4%
& 5
 
0.3%
: 1
 
0.1%
' 1
 
0.1%
; 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38400
54.9%
Common 31394
44.9%
Latin 155
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2891
 
7.5%
2714
 
7.1%
2435
 
6.3%
1795
 
4.7%
1769
 
4.6%
1367
 
3.6%
1259
 
3.3%
1172
 
3.1%
939
 
2.4%
904
 
2.4%
Other values (406) 21155
55.1%
Latin
ValueCountFrequency (%)
B 23
14.8%
A 16
 
10.3%
L 14
 
9.0%
C 11
 
7.1%
G 9
 
5.8%
N 8
 
5.2%
D 6
 
3.9%
i 5
 
3.2%
a 5
 
3.2%
F 4
 
2.6%
Other values (25) 54
34.8%
Common
ValueCountFrequency (%)
11944
38.0%
1 3130
 
10.0%
) 2334
 
7.4%
( 2332
 
7.4%
2 1910
 
6.1%
, 1587
 
5.1%
3 1336
 
4.3%
0 1223
 
3.9%
4 1089
 
3.5%
5 1022
 
3.3%
Other values (13) 3487
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38400
54.9%
ASCII 31486
45.0%
None 62
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11944
37.9%
1 3130
 
9.9%
) 2334
 
7.4%
( 2332
 
7.4%
2 1910
 
6.1%
, 1587
 
5.0%
3 1336
 
4.2%
0 1223
 
3.9%
4 1089
 
3.5%
5 1022
 
3.2%
Other values (46) 3579
 
11.4%
Hangul
ValueCountFrequency (%)
2891
 
7.5%
2714
 
7.1%
2435
 
6.3%
1795
 
4.7%
1769
 
4.6%
1367
 
3.6%
1259
 
3.3%
1172
 
3.1%
939
 
2.4%
904
 
2.4%
Other values (406) 21155
55.1%
None
ValueCountFrequency (%)
· 62
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

Missing values

2023-12-11T08:39:28.786238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:39:28.866576image/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.
2023-12-11T08:39:28.950930image/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

의료기기 판매업자 세부 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
0<NA><NA><NA><NA><NA>
1<NA><NA><NA><NA>( '21.2월말 단위 : 개소)
2연번시·군신고일자업체명소재지
31창원시 창원1993-09-23홍익상사창원시 의창구 도계로107번길 6 (도계동)
42창원시 창원1995-05-24텃밭의료기상사창원시 의창구 의창대로211번길 2 (서상동)
53창원시 창원1996-04-24서해통상창원시 의창구 의안로27번길 2 (중동)
64창원시 창원1996-08-14성준메딕스창원시 의창구 사화로 382 (팔용동, 2층)
75창원시 창원1997-02-11OK메디칼창원시 의창구 도계로4번길 46 (도계동)
86창원시 창원1997-02-11파티마의료기창원시 의창구 우곡로217번길 10 (명서동)
97창원시 창원1997-07-25가람메디칼창원시 의창구 의안로62번길 9-2 (소답동)
의료기기 판매업자 세부 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
2835<NA><NA><NA><NA><NA>
2836<NA><NA><NA><NA><NA>
2837<NA><NA><NA><NA><NA>
2838<NA><NA><NA><NA><NA>
2839<NA><NA><NA><NA><NA>
2840<NA><NA><NA><NA><NA>
2841<NA><NA><NA><NA><NA>
2842<NA><NA><NA><NA><NA>
2843<NA><NA><NA><NA><NA>
2844<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

의료기기 판매업자 세부 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4# duplicates
0<NA><NA><NA><NA><NA>16