Overview

Dataset statistics

Number of variables5
Number of observations5590
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory223.9 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description해당 데이터는 경상남도 내 의료기기 판매업체 현황에 대한 자료로, 시군구명, 업체명, 소재지에 대한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15017515

Alerts

시 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
군구 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 시 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:39:40.242272
Analysis finished2023-12-10 23:39:41.343679
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2795.5
Minimum1
Maximum5590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.3 KiB
2023-12-11T08:39:41.406702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile280.45
Q11398.25
median2795.5
Q34192.75
95-th percentile5310.55
Maximum5590
Range5589
Interquartile range (IQR)2794.5

Descriptive statistics

Standard deviation1613.8383
Coefficient of variation (CV)0.57729863
Kurtosis-1.2
Mean2795.5
Median Absolute Deviation (MAD)1397.5
Skewness0
Sum15626845
Variance2604474.2
MonotonicityStrictly increasing
2023-12-11T08:39:41.566664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3726 1
 
< 0.1%
3734 1
 
< 0.1%
3733 1
 
< 0.1%
3732 1
 
< 0.1%
3731 1
 
< 0.1%
3730 1
 
< 0.1%
3729 1
 
< 0.1%
3728 1
 
< 0.1%
3727 1
 
< 0.1%
Other values (5580) 5580
99.8%
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 (%)
5590 1
< 0.1%
5589 1
< 0.1%
5588 1
< 0.1%
5587 1
< 0.1%
5586 1
< 0.1%
5585 1
< 0.1%
5584 1
< 0.1%
5583 1
< 0.1%
5582 1
< 0.1%
5581 1
< 0.1%

시
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.8 KiB
창원시
2065 
김해시
935 
진주시
739 
양산시
637 
<NA>
366 
Other values (5)
848 

Length

Max length4
Median length3
Mean length3.0654741
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 2065
36.9%
김해시 935
16.7%
진주시 739
 
13.2%
양산시 637
 
11.4%
<NA> 366
 
6.5%
거제시 349
 
6.2%
통영시 160
 
2.9%
사천시 157
 
2.8%
밀양시 133
 
2.4%
고성군 49
 
0.9%

Length

2023-12-11T08:39:41.706456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:41.819497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 2065
36.9%
김해시 935
16.7%
진주시 739
 
13.2%
양산시 637
 
11.4%
na 366
 
6.5%
거제시 349
 
6.2%
통영시 160
 
2.9%
사천시 157
 
2.8%
밀양시 133
 
2.4%
고성군 49
 
0.9%

군구
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size43.8 KiB
<NA>
2778 
창원
1044 
마산회원구
374 
마산합포구
363 
서부
351 
Other values (11)
680 

Length

Max length5
Median length4
Mean length3.5055456
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2778
49.7%
창원 1044
 
18.7%
마산회원구 374
 
6.7%
마산합포구 363
 
6.5%
서부 351
 
6.3%
진해구 283
 
5.1%
거창군 68
 
1.2%
함안군 67
 
1.2%
창녕군 60
 
1.1%
남해군 45
 
0.8%
Other values (6) 157
 
2.8%

Length

2023-12-11T08:39:41.954367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2778
49.7%
창원 1044
 
18.7%
마산회원구 374
 
6.7%
마산합포구 363
 
6.5%
서부 351
 
6.3%
진해구 283
 
5.1%
거창군 68
 
1.2%
함안군 67
 
1.2%
창녕군 60
 
1.1%
남해군 45
 
0.8%
Other values (6) 157
 
2.8%

업체명
Text

Distinct5392
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size43.8 KiB
2023-12-11T08:39:42.258392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length8.893381
Min length2

Characters and Unicode

Total characters49714
Distinct characters730
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

Unique5259 ?
Unique (%)94.1%

Sample

1st row홍익상사
2nd row텃밭의료기상사
3rd row서해통상
4th row성준메딕스
5th row파티마의료기
ValueCountFrequency (%)
씨유 379
 
4.7%
세븐일레븐 342
 
4.3%
gs25 245
 
3.0%
주식회사 140
 
1.7%
지에스(gs)25 93
 
1.2%
이마트24 73
 
0.9%
cu 61
 
0.8%
지에스25 46
 
0.6%
미니스톱 45
 
0.6%
주)아성다이소 28
 
0.3%
Other values (5475) 6584
81.9%
2023-12-11T08:39:42.749287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2981
 
6.0%
2448
 
4.9%
스 1131
 
2.3%
주 1042
 
2.1%
이 983
 
2.0%
2 971
 
2.0%
븐 912
 
1.8%
유 876
 
1.8%
5 828
 
1.7%
) 774
 
1.6%
Other values (720) 36768
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40866
82.2%
Space Separator 2448
 
4.9%
Uppercase Letter 2360
 
4.7%
Decimal Number 2045
 
4.1%
Close Punctuation 774
 
1.6%
Open Punctuation 765
 
1.5%
Lowercase Letter 331
 
0.7%
Other Punctuation 61
 
0.1%
Other Symbol 54
 
0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2981
 
7.3%
스 1131
 
2.8%
주 1042
 
2.5%
이 983
 
2.4%
븐 912
 
2.2%
유 876
 
2.1%
씨 747
 
1.8%
산 686
 
1.7%
원 664
 
1.6%
일 663
 
1.6%
Other values (649) 30181
73.9%
Uppercase Letter
ValueCountFrequency (%)
S 767
32.5%
G 733
31.1%
C 215
 
9.1%
U 184
 
7.8%
H 57
 
2.4%
M 41
 
1.7%
L 32
 
1.4%
O 29
 
1.2%
K 29
 
1.2%
T 26
 
1.1%
Other values (16) 247
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 41
12.4%
a 30
 
9.1%
c 28
 
8.5%
s 23
 
6.9%
t 22
 
6.6%
l 21
 
6.3%
i 20
 
6.0%
n 17
 
5.1%
h 16
 
4.8%
u 15
 
4.5%
Other values (14) 98
29.6%
Decimal Number
ValueCountFrequency (%)
2 971
47.5%
5 828
40.5%
4 131
 
6.4%
3 44
 
2.2%
1 26
 
1.3%
6 16
 
0.8%
0 11
 
0.5%
7 8
 
0.4%
8 6
 
0.3%
9 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 28
45.9%
& 20
32.8%
, 6
 
9.8%
/ 4
 
6.6%
# 2
 
3.3%
· 1
 
1.6%
Space Separator
ValueCountFrequency (%)
2448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 774
100.0%
Open Punctuation
ValueCountFrequency (%)
( 765
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40920
82.3%
Common 6103
 
12.3%
Latin 2691
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2981
 
7.3%
스 1131
 
2.8%
주 1042
 
2.5%
이 983
 
2.4%
븐 912
 
2.2%
유 876
 
2.1%
씨 747
 
1.8%
산 686
 
1.7%
원 664
 
1.6%
일 663
 
1.6%
Other values (650) 30235
73.9%
Latin
ValueCountFrequency (%)
S 767
28.5%
G 733
27.2%
C 215
 
8.0%
U 184
 
6.8%
H 57
 
2.1%
e 41
 
1.5%
M 41
 
1.5%
L 32
 
1.2%
a 30
 
1.1%
O 29
 
1.1%
Other values (40) 562
20.9%
Common
ValueCountFrequency (%)
2448
40.1%
2 971
 
15.9%
5 828
 
13.6%
) 774
 
12.7%
( 765
 
12.5%
4 131
 
2.1%
3 44
 
0.7%
. 28
 
0.5%
1 26
 
0.4%
& 20
 
0.3%
Other values (10) 68
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40866
82.2%
ASCII 8793
 
17.7%
None 55
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2981
 
7.3%
스 1131
 
2.8%
주 1042
 
2.5%
이 983
 
2.4%
븐 912
 
2.2%
유 876
 
2.1%
씨 747
 
1.8%
산 686
 
1.7%
원 664
 
1.6%
일 663
 
1.6%
Other values (649) 30181
73.9%
ASCII
ValueCountFrequency (%)
2448
27.8%
2 971
 
11.0%
5 828
 
9.4%
) 774
 
8.8%
S 767
 
8.7%
( 765
 
8.7%
G 733
 
8.3%
C 215
 
2.4%
U 184
 
2.1%
4 131
 
1.5%
Other values (59) 977
 
11.1%
None
ValueCountFrequency (%)
㈜ 54
98.2%
· 1
 
1.8%

소재지
Text

Distinct5424
Distinct (%)97.1%
Missing2
Missing (%)< 0.1%
Memory size43.8 KiB
2023-12-11T08:39:43.071148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length56
Mean length30.64549
Min length9

Characters and Unicode

Total characters171247
Distinct characters579
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

Unique5293 ?
Unique (%)94.7%

Sample

1st row경상남도 창원시 의창구 도계로107번길 6 (도계동)
2nd row경상남도 창원시 의창구 의창대로211번길 2 (서상동)
3rd row경상남도 창원시 의창구 의안로27번길 2 (중동)
4th row경상남도 창원시 의창구 사화로 382 (팔용동, 2층)
5th row경상남도 창원시 의창구 우곡로217번길 10 (명서동)
ValueCountFrequency (%)
경상남도 4930
 
14.0%
창원시 2065
 
5.8%
1층 1175
 
3.3%
김해시 933
 
2.6%
진주시 734
 
2.1%
양산시 637
 
1.8%
의창구 532
 
1.5%
성산구 512
 
1.4%
마산회원구 375
 
1.1%
마산합포구 363
 
1.0%
Other values (6448) 23081
65.3%
2023-12-11T08:39:43.558038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29783
 
17.4%
1 7858
 
4.6%
상 5964
 
3.5%
동 5871
 
3.4%
남 5745
 
3.4%
시 5363
 
3.1%
도 5199
 
3.0%
경 5056
 
3.0%
로 4686
 
2.7%
) 4295
 
2.5%
Other values (569) 91427
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99756
58.3%
Space Separator 29783
 
17.4%
Decimal Number 27580
 
16.1%
Close Punctuation 4295
 
2.5%
Open Punctuation 4295
 
2.5%
Other Punctuation 4052
 
2.4%
Dash Punctuation 1086
 
0.6%
Uppercase Letter 315
 
0.2%
Lowercase Letter 48
 
< 0.1%
Math Symbol 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 5964
 
6.0%
동 5871
 
5.9%
남 5745
 
5.8%
시 5363
 
5.4%
도 5199
 
5.2%
경 5056
 
5.1%
로 4686
 
4.7%
원 3123
 
3.1%
창 3111
 
3.1%
산 2772
 
2.8%
Other values (507) 52866
53.0%
Uppercase Letter
ValueCountFrequency (%)
B 45
14.3%
S 38
12.1%
A 37
11.7%
G 35
11.1%
C 26
 
8.3%
L 20
 
6.3%
N 13
 
4.1%
K 13
 
4.1%
U 11
 
3.5%
D 11
 
3.5%
Other values (14) 66
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 17
35.4%
l 5
 
10.4%
t 4
 
8.3%
y 3
 
6.2%
i 3
 
6.2%
a 3
 
6.2%
g 2
 
4.2%
s 2
 
4.2%
w 1
 
2.1%
u 1
 
2.1%
Other values (7) 7
14.6%
Decimal Number
ValueCountFrequency (%)
1 7858
28.5%
2 3901
14.1%
0 3004
 
10.9%
3 2712
 
9.8%
4 2181
 
7.9%
5 2105
 
7.6%
6 1609
 
5.8%
7 1491
 
5.4%
8 1416
 
5.1%
9 1303
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3965
97.9%
· 71
 
1.8%
. 10
 
0.2%
& 4
 
0.1%
@ 1
 
< 0.1%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
29783
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1086
100.0%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99756
58.3%
Common 71128
41.5%
Latin 363
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 5964
 
6.0%
동 5871
 
5.9%
남 5745
 
5.8%
시 5363
 
5.4%
도 5199
 
5.2%
경 5056
 
5.1%
로 4686
 
4.7%
원 3123
 
3.1%
창 3111
 
3.1%
산 2772
 
2.8%
Other values (507) 52866
53.0%
Latin
ValueCountFrequency (%)
B 45
12.4%
S 38
 
10.5%
A 37
 
10.2%
G 35
 
9.6%
C 26
 
7.2%
L 20
 
5.5%
e 17
 
4.7%
N 13
 
3.6%
K 13
 
3.6%
U 11
 
3.0%
Other values (31) 108
29.8%
Common
ValueCountFrequency (%)
29783
41.9%
1 7858
 
11.0%
) 4295
 
6.0%
( 4295
 
6.0%
, 3965
 
5.6%
2 3901
 
5.5%
0 3004
 
4.2%
3 2712
 
3.8%
4 2181
 
3.1%
5 2105
 
3.0%
Other values (11) 7029
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99756
58.3%
ASCII 71420
41.7%
None 71
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29783
41.7%
1 7858
 
11.0%
) 4295
 
6.0%
( 4295
 
6.0%
, 3965
 
5.6%
2 3901
 
5.5%
0 3004
 
4.2%
3 2712
 
3.8%
4 2181
 
3.1%
5 2105
 
2.9%
Other values (51) 7321
 
10.3%
Hangul
ValueCountFrequency (%)
상 5964
 
6.0%
동 5871
 
5.9%
남 5745
 
5.8%
시 5363
 
5.4%
도 5199
 
5.2%
경 5056
 
5.1%
로 4686
 
4.7%
원 3123
 
3.1%
창 3111
 
3.1%
산 2772
 
2.8%
Other values (507) 52866
53.0%
None
ValueCountFrequency (%)
· 71
100.0%

Interactions

2023-12-11T08:39:41.106320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:39:43.644251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구
연번1.0000.8970.947
시0.8971.0001.000
군구0.9471.0001.000
2023-12-11T08:39:43.724485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구
시1.0000.999
군구0.9991.000
2023-12-11T08:39:43.805682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구
연번1.0000.6930.798
시0.6931.0000.999
군구0.7980.9991.000

Missing values

2023-12-11T08:39:41.214759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:39:41.304936image/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

연번시군구업체명소재지
01창원시창원홍익상사경상남도 창원시 의창구 도계로107번길 6 (도계동)
12창원시창원텃밭의료기상사경상남도 창원시 의창구 의창대로211번길 2 (서상동)
23창원시창원서해통상경상남도 창원시 의창구 의안로27번길 2 (중동)
34창원시창원성준메딕스경상남도 창원시 의창구 사화로 382 (팔용동, 2층)
45창원시창원파티마의료기경상남도 창원시 의창구 우곡로217번길 10 (명서동)
56창원시창원OK메디칼경상남도 창원시 의창구 도계로4번길 46 (도계동)
67창원시창원가람메디칼경상남도 창원시 의창구 의안로62번길 9-2 (소답동)
78창원시창원메디테크경상남도 창원시 의창구 의창대로282번길 289-22 (소답동)
89창원시창원한빛건강의료기경상남도 창원시 성산구 중앙대로 85 (중앙동)
910창원시창원제니선터치포인트경상남도 창원시 성산구 원이대로 581 (용호동)
연번시군구업체명소재지
55805581<NA>합천군미건원적외선경상남도 합천군 합천읍 서산길 41
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55825583<NA>합천군(주) 에스원경상남도 합천군 합천읍 동서로 113, 범한빌딩 1층
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55845585<NA>합천군서진 의료기경상남도 합천군 합천읍 충효로 96
55855586<NA>합천군가나 의료기경상남도 합천군 대양면 대야로 751
55865587<NA>합천군가야메디칼경상남도 합천군 합천읍 충효로3길 4
55875588<NA>합천군더 조은 아침경상남도 합천군 합천읍 동서로 87
55885589<NA>합천군지노메디컬경상남도 합천군 합천읍 용계길 264-67
55895590<NA>합천군합천의료기경상남도 합천군 합천읍 대야로 886-1