Overview

Dataset statistics

Number of variables5
Number of observations321
Missing cells228
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시 강서구 관내 의료기기 판매업 현황(의료기기판매업소명, 의료기기판매업 소재지,의료기기판매업 전화번호)
Author부산광역시 강서구
URLhttps://www.data.go.kr/data/15051992/fileData.do

Alerts

구분 has constant value ""Constant
전화번호 has 228 (71.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:32:40.962615
Analysis finished2023-12-12 07:32:41.766178
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct321
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161
Minimum1
Maximum321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T16:32:41.870133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q181
median161
Q3241
95-th percentile305
Maximum321
Range320
Interquartile range (IQR)160

Descriptive statistics

Standard deviation92.808944
Coefficient of variation (CV)0.57645307
Kurtosis-1.2
Mean161
Median Absolute Deviation (MAD)80
Skewness0
Sum51681
Variance8613.5
MonotonicityStrictly increasing
2023-12-12T16:32:42.051753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
242 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
Other values (311) 311
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
판매업
321 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
판매업 321
100.0%

Length

2023-12-12T16:32:42.207564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:32:42.313393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매업 321
100.0%

영업소명
Text

Distinct319
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T16:32:42.589739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.6012461
Min length2

Characters and Unicode

Total characters2761
Distinct characters326
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

Unique317 ?
Unique (%)98.8%

Sample

1st row서부산25시야구센터
2nd row더화사스킨앤바디
3rd row호시모르
4th row스매시365
5th row유니카트
ValueCountFrequency (%)
씨유 32
 
6.7%
주식회사 27
 
5.7%
세븐일레븐 21
 
4.4%
지에스25 14
 
2.9%
이마트24 8
 
1.7%
gs25 4
 
0.8%
부산신호원룸점 3
 
0.6%
부산강서점 3
 
0.6%
씨제이올리브영(주 3
 
0.6%
퍼스트 2
 
0.4%
Other values (347) 358
75.4%
2023-12-12T16:32:43.081045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
5.6%
점 130
 
4.7%
지 100
 
3.6%
스 85
 
3.1%
주 72
 
2.6%
이 68
 
2.5%
산 61
 
2.2%
디 60
 
2.2%
명 60
 
2.2%
유 56
 
2.0%
Other values (316) 1915
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2356
85.3%
Space Separator 154
 
5.6%
Decimal Number 82
 
3.0%
Uppercase Letter 53
 
1.9%
Close Punctuation 46
 
1.7%
Open Punctuation 46
 
1.7%
Lowercase Letter 22
 
0.8%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 130
 
5.5%
지 100
 
4.2%
스 85
 
3.6%
주 72
 
3.1%
이 68
 
2.9%
산 61
 
2.6%
디 60
 
2.5%
명 60
 
2.5%
유 56
 
2.4%
메 55
 
2.3%
Other values (276) 1609
68.3%
Uppercase Letter
ValueCountFrequency (%)
S 13
24.5%
G 12
22.6%
H 5
 
9.4%
J 3
 
5.7%
E 3
 
5.7%
T 2
 
3.8%
U 2
 
3.8%
N 2
 
3.8%
B 2
 
3.8%
K 2
 
3.8%
Other values (6) 7
13.2%
Lowercase Letter
ValueCountFrequency (%)
s 4
18.2%
n 3
13.6%
a 3
13.6%
o 2
9.1%
h 2
9.1%
d 2
9.1%
g 1
 
4.5%
i 1
 
4.5%
e 1
 
4.5%
r 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 37
45.1%
5 28
34.1%
4 10
 
12.2%
3 3
 
3.7%
1 2
 
2.4%
9 1
 
1.2%
6 1
 
1.2%
Space Separator
ValueCountFrequency (%)
154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2356
85.3%
Common 330
 
12.0%
Latin 75
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 130
 
5.5%
지 100
 
4.2%
스 85
 
3.6%
주 72
 
3.1%
이 68
 
2.9%
산 61
 
2.6%
디 60
 
2.5%
명 60
 
2.5%
유 56
 
2.4%
메 55
 
2.3%
Other values (276) 1609
68.3%
Latin
ValueCountFrequency (%)
S 13
17.3%
G 12
16.0%
H 5
 
6.7%
s 4
 
5.3%
n 3
 
4.0%
a 3
 
4.0%
J 3
 
4.0%
E 3
 
4.0%
T 2
 
2.7%
U 2
 
2.7%
Other values (18) 25
33.3%
Common
ValueCountFrequency (%)
154
46.7%
) 46
 
13.9%
( 46
 
13.9%
2 37
 
11.2%
5 28
 
8.5%
4 10
 
3.0%
3 3
 
0.9%
1 2
 
0.6%
. 1
 
0.3%
- 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2356
85.3%
ASCII 405
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
38.0%
) 46
 
11.4%
( 46
 
11.4%
2 37
 
9.1%
5 28
 
6.9%
S 13
 
3.2%
G 12
 
3.0%
4 10
 
2.5%
H 5
 
1.2%
s 4
 
1.0%
Other values (30) 50
 
12.3%
Hangul
ValueCountFrequency (%)
점 130
 
5.5%
지 100
 
4.2%
스 85
 
3.6%
주 72
 
3.1%
이 68
 
2.9%
산 61
 
2.6%
디 60
 
2.5%
명 60
 
2.5%
유 56
 
2.4%
메 55
 
2.3%
Other values (276) 1609
68.3%

영업소소재지(도로명)
Text

Distinct312
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T16:32:43.420276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length38.071651
Min length23

Characters and Unicode

Total characters12221
Distinct characters237
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

Unique304 ?
Unique (%)94.7%

Sample

1st row부산광역시 강서구 공항앞길221번길 46, 1층 (대저2동)
2nd row부산광역시 강서구 명지국제8로 271, 문힐파크타워 5층 503호 (명지동)
3rd row부산광역시 강서구 대저로3번길 5, 1층 (대저1동)
4th row부산광역시 강서구 제도로1092번길 351, 1층 (강동동)
5th row부산광역시 강서구 신호산단4로 27, 209동 1103호 (신호동, 부산신호사랑으로부영2차)
ValueCountFrequency (%)
부산광역시 321
 
14.2%
강서구 321
 
14.2%
1층 123
 
5.4%
명지동 101
 
4.5%
일부호 70
 
3.1%
대저1동 69
 
3.0%
대저2동 54
 
2.4%
2층 39
 
1.7%
신호동 25
 
1.1%
3층 14
 
0.6%
Other values (574) 1128
49.8%
2023-12-12T16:32:43.871919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
 
15.9%
1 676
 
5.5%
동 440
 
3.6%
2 422
 
3.5%
부 420
 
3.4%
산 405
 
3.3%
시 370
 
3.0%
강 348
 
2.8%
, 344
 
2.8%
) 336
 
2.7%
Other values (227) 6516
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6819
55.8%
Decimal Number 2319
 
19.0%
Space Separator 1944
 
15.9%
Other Punctuation 349
 
2.9%
Close Punctuation 336
 
2.7%
Open Punctuation 336
 
2.7%
Dash Punctuation 73
 
0.6%
Uppercase Letter 35
 
0.3%
Math Symbol 8
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 440
 
6.5%
부 420
 
6.2%
산 405
 
5.9%
시 370
 
5.4%
강 348
 
5.1%
서 331
 
4.9%
구 329
 
4.8%
역 322
 
4.7%
광 321
 
4.7%
로 298
 
4.4%
Other values (195) 3235
47.4%
Uppercase Letter
ValueCountFrequency (%)
A 7
20.0%
S 6
17.1%
B 5
14.3%
D 3
8.6%
P 2
 
5.7%
L 2
 
5.7%
O 2
 
5.7%
T 2
 
5.7%
R 2
 
5.7%
C 2
 
5.7%
Other values (2) 2
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 676
29.2%
2 422
18.2%
3 241
 
10.4%
0 215
 
9.3%
5 161
 
6.9%
4 151
 
6.5%
6 123
 
5.3%
7 123
 
5.3%
9 115
 
5.0%
8 92
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 344
98.6%
· 2
 
0.6%
: 2
 
0.6%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6819
55.8%
Common 5365
43.9%
Latin 37
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 440
 
6.5%
부 420
 
6.2%
산 405
 
5.9%
시 370
 
5.4%
강 348
 
5.1%
서 331
 
4.9%
구 329
 
4.8%
역 322
 
4.7%
광 321
 
4.7%
로 298
 
4.4%
Other values (195) 3235
47.4%
Common
ValueCountFrequency (%)
1944
36.2%
1 676
 
12.6%
2 422
 
7.9%
, 344
 
6.4%
) 336
 
6.3%
( 336
 
6.3%
3 241
 
4.5%
0 215
 
4.0%
5 161
 
3.0%
4 151
 
2.8%
Other values (9) 539
 
10.0%
Latin
ValueCountFrequency (%)
A 7
18.9%
S 6
16.2%
B 5
13.5%
D 3
8.1%
P 2
 
5.4%
L 2
 
5.4%
O 2
 
5.4%
T 2
 
5.4%
R 2
 
5.4%
e 2
 
5.4%
Other values (3) 4
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6819
55.8%
ASCII 5400
44.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
36.0%
1 676
 
12.5%
2 422
 
7.8%
, 344
 
6.4%
) 336
 
6.2%
( 336
 
6.2%
3 241
 
4.5%
0 215
 
4.0%
5 161
 
3.0%
4 151
 
2.8%
Other values (21) 574
 
10.6%
Hangul
ValueCountFrequency (%)
동 440
 
6.5%
부 420
 
6.2%
산 405
 
5.9%
시 370
 
5.4%
강 348
 
5.1%
서 331
 
4.9%
구 329
 
4.8%
역 322
 
4.7%
광 321
 
4.7%
로 298
 
4.4%
Other values (195) 3235
47.4%
None
ValueCountFrequency (%)
· 2
100.0%

전화번호
Text

MISSING 

Distinct90
Distinct (%)96.8%
Missing228
Missing (%)71.0%
Memory size2.6 KiB
2023-12-12T16:32:44.106117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.107527
Min length12

Characters and Unicode

Total characters1126
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

Unique88 ?
Unique (%)94.6%

Sample

1st row051-973-9200
2nd row070-8064-5201
3rd row051-971-6379
4th row051-263-9051
5th row02-3284-8120
ValueCountFrequency (%)
051-582-7534 3
 
3.2%
051-293-3770 2
 
2.2%
051-583-5764 1
 
1.1%
070-5015-2415 1
 
1.1%
051-625-8589 1
 
1.1%
051-816-0461 1
 
1.1%
051-972-6673 1
 
1.1%
070-4384-9903 1
 
1.1%
051-898-3369 1
 
1.1%
051-817-4557 1
 
1.1%
Other values (80) 80
86.0%
2023-12-12T16:32:44.512488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 186
16.5%
0 176
15.6%
1 142
12.6%
5 139
12.3%
2 85
7.5%
3 84
7.5%
7 79
7.0%
8 62
 
5.5%
6 62
 
5.5%
9 61
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 940
83.5%
Dash Punctuation 186
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
18.7%
1 142
15.1%
5 139
14.8%
2 85
9.0%
3 84
8.9%
7 79
8.4%
8 62
 
6.6%
6 62
 
6.6%
9 61
 
6.5%
4 50
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 186
16.5%
0 176
15.6%
1 142
12.6%
5 139
12.3%
2 85
7.5%
3 84
7.5%
7 79
7.0%
8 62
 
5.5%
6 62
 
5.5%
9 61
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 186
16.5%
0 176
15.6%
1 142
12.6%
5 139
12.3%
2 85
7.5%
3 84
7.5%
7 79
7.0%
8 62
 
5.5%
6 62
 
5.5%
9 61
 
5.4%

Interactions

2023-12-12T16:32:41.437158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:32:44.606756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번전화번호
순번1.0000.937
전화번호0.9371.000

Missing values

2023-12-12T16:32:41.577598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:32:41.714825image/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

순번구분영업소명영업소소재지(도로명)전화번호
01판매업서부산25시야구센터부산광역시 강서구 공항앞길221번길 46, 1층 (대저2동)<NA>
12판매업더화사스킨앤바디부산광역시 강서구 명지국제8로 271, 문힐파크타워 5층 503호 (명지동)<NA>
23판매업호시모르부산광역시 강서구 대저로3번길 5, 1층 (대저1동)<NA>
34판매업스매시365부산광역시 강서구 제도로1092번길 351, 1층 (강동동)<NA>
45판매업유니카트부산광역시 강서구 신호산단4로 27, 209동 1103호 (신호동, 부산신호사랑으로부영2차)<NA>
56판매업동행재가복지센터부산광역시 강서구 공항로811번다길 6, 1층 (대저2동)051-973-9200
67판매업소미컴퍼니부산광역시 강서구 명지국제5로 30, 105동 18층 1802호 (명지동, 명지 대방노블랜드 오션뷰1차)070-8064-5201
78판매업경백상사부산광역시 강서구 낙동북로187번길 10, 102동 602호 (대저1동, 우창팰리스)<NA>
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