Overview

Dataset statistics

Number of variables4
Number of observations998
Missing cells737
Missing cells (%)18.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.3 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 부평구 의료기기판매업 데이터는 의료기기 판매 영업소명, 영업소소재지(도로명), 전화번호에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102620&srcSe=7661IVAWM27C61E190

Alerts

영업소전화번호 has 736 (73.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:08:17.721374
Analysis finished2024-03-18 05:08:18.719693
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct998
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499.5
Minimum1
Maximum998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-18T14:08:18.789186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.85
Q1250.25
median499.5
Q3748.75
95-th percentile948.15
Maximum998
Range997
Interquartile range (IQR)498.5

Descriptive statistics

Standard deviation288.24209
Coefficient of variation (CV)0.57706123
Kurtosis-1.2
Mean499.5
Median Absolute Deviation (MAD)249.5
Skewness0
Sum498501
Variance83083.5
MonotonicityStrictly increasing
2024-03-18T14:08:18.905360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (988) 988
99.0%
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 (%)
998 1
0.1%
997 1
0.1%
996 1
0.1%
995 1
0.1%
994 1
0.1%
993 1
0.1%
992 1
0.1%
991 1
0.1%
990 1
0.1%
989 1
0.1%

영업소명
Text

Distinct993
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-18T14:08:19.127386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.8016032
Min length1

Characters and Unicode

Total characters7786
Distinct characters500
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

Unique988 ?
Unique (%)99.0%

Sample

1st row주식회사 에듀마크
2nd row한톨이네점빵
3rd row영진미래
4th row(주)정인광학
5th row휴족시간
ValueCountFrequency (%)
씨유 21
 
1.8%
지에스25 14
 
1.2%
gs25 14
 
1.2%
주식회사 13
 
1.1%
세븐일레븐 13
 
1.1%
이마트24 8
 
0.7%
부평점 5
 
0.4%
주)코리아세븐 5
 
0.4%
부평지점 3
 
0.3%
보청기 3
 
0.3%
Other values (1039) 1056
91.4%
2024-03-18T14:08:19.518221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 357
 
4.6%
부 284
 
3.6%
스 241
 
3.1%
평 228
 
2.9%
이 216
 
2.8%
주 176
 
2.3%
) 162
 
2.1%
븐 161
 
2.1%
( 161
 
2.1%
157
 
2.0%
Other values (490) 5643
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6772
87.0%
Decimal Number 283
 
3.6%
Uppercase Letter 192
 
2.5%
Close Punctuation 162
 
2.1%
Open Punctuation 161
 
2.1%
Space Separator 157
 
2.0%
Lowercase Letter 46
 
0.6%
Other Punctuation 9
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 357
 
5.3%
부 284
 
4.2%
스 241
 
3.6%
평 228
 
3.4%
이 216
 
3.2%
주 176
 
2.6%
븐 161
 
2.4%
에 140
 
2.1%
지 138
 
2.0%
디 112
 
1.7%
Other values (434) 4719
69.7%
Uppercase Letter
ValueCountFrequency (%)
S 49
25.5%
G 45
23.4%
C 17
 
8.9%
U 13
 
6.8%
K 9
 
4.7%
J 7
 
3.6%
B 5
 
2.6%
R 5
 
2.6%
D 5
 
2.6%
H 5
 
2.6%
Other values (13) 32
16.7%
Lowercase Letter
ValueCountFrequency (%)
s 7
15.2%
g 5
10.9%
l 5
10.9%
o 5
10.9%
m 3
 
6.5%
d 3
 
6.5%
a 3
 
6.5%
e 3
 
6.5%
p 2
 
4.3%
y 2
 
4.3%
Other values (7) 8
17.4%
Decimal Number
ValueCountFrequency (%)
2 128
45.2%
5 101
35.7%
4 22
 
7.8%
1 12
 
4.2%
3 8
 
2.8%
0 7
 
2.5%
6 3
 
1.1%
9 1
 
0.4%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
& 4
44.4%
. 4
44.4%
? 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6772
87.0%
Common 776
 
10.0%
Latin 238
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 357
 
5.3%
부 284
 
4.2%
스 241
 
3.6%
평 228
 
3.4%
이 216
 
3.2%
주 176
 
2.6%
븐 161
 
2.4%
에 140
 
2.1%
지 138
 
2.0%
디 112
 
1.7%
Other values (434) 4719
69.7%
Latin
ValueCountFrequency (%)
S 49
20.6%
G 45
18.9%
C 17
 
7.1%
U 13
 
5.5%
K 9
 
3.8%
s 7
 
2.9%
J 7
 
2.9%
B 5
 
2.1%
g 5
 
2.1%
R 5
 
2.1%
Other values (30) 76
31.9%
Common
ValueCountFrequency (%)
) 162
20.9%
( 161
20.7%
157
20.2%
2 128
16.5%
5 101
13.0%
4 22
 
2.8%
1 12
 
1.5%
3 8
 
1.0%
0 7
 
0.9%
& 4
 
0.5%
Other values (6) 14
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6772
87.0%
ASCII 1014
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 357
 
5.3%
부 284
 
4.2%
스 241
 
3.6%
평 228
 
3.4%
이 216
 
3.2%
주 176
 
2.6%
븐 161
 
2.4%
에 140
 
2.1%
지 138
 
2.0%
디 112
 
1.7%
Other values (434) 4719
69.7%
ASCII
ValueCountFrequency (%)
) 162
16.0%
( 161
15.9%
157
15.5%
2 128
12.6%
5 101
10.0%
S 49
 
4.8%
G 45
 
4.4%
4 22
 
2.2%
C 17
 
1.7%
U 13
 
1.3%
Other values (46) 159
15.7%

영업소소재지(도로명)
Text

Distinct983
Distinct (%)98.6%
Missing1
Missing (%)0.1%
Memory size7.9 KiB
2024-03-18T14:08:19.807255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length50
Mean length36.841525
Min length21

Characters and Unicode

Total characters36731
Distinct characters331
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

Unique971 ?
Unique (%)97.4%

Sample

1st row인천광역시 부평구 부평북로 313, 상가동 205(일부)호 (갈산동, 태화아파트)
2nd row인천광역시 부평구 부평문화로141번길 18-5, 401호 (부평동, 정원빌리지)
3rd row인천광역시 부평구 부일로19번길 10, 하비스트3 1303호 (부평동)
4th row인천광역시 부평구 길주로547번길 5, 601호 (갈산동)
5th row인천광역시 부평구 장제로 45, 부평 현대 더로프트 2동 205-2호 (부평동)
ValueCountFrequency (%)
인천광역시 997
 
14.1%
부평구 997
 
14.1%
부평동 389
 
5.5%
1층 236
 
3.3%
일부호 161
 
2.3%
청천동 119
 
1.7%
삼산동 109
 
1.5%
부개동 105
 
1.5%
2층 95
 
1.3%
십정동 92
 
1.3%
Other values (1392) 3750
53.2%
2024-03-18T14:08:20.253770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6054
 
16.5%
부 2171
 
5.9%
1 1668
 
4.5%
평 1638
 
4.5%
동 1292
 
3.5%
, 1243
 
3.4%
천 1157
 
3.1%
) 1106
 
3.0%
( 1106
 
3.0%
인 1062
 
2.9%
Other values (321) 18234
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20635
56.2%
Decimal Number 6231
 
17.0%
Space Separator 6054
 
16.5%
Other Punctuation 1244
 
3.4%
Close Punctuation 1106
 
3.0%
Open Punctuation 1106
 
3.0%
Uppercase Letter 188
 
0.5%
Dash Punctuation 161
 
0.4%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2171
 
10.5%
평 1638
 
7.9%
동 1292
 
6.3%
천 1157
 
5.6%
인 1062
 
5.1%
시 1048
 
5.1%
광 1033
 
5.0%
로 1012
 
4.9%
역 1010
 
4.9%
구 1005
 
4.9%
Other values (280) 8207
39.8%
Uppercase Letter
ValueCountFrequency (%)
A 58
30.9%
B 54
28.7%
S 10
 
5.3%
C 7
 
3.7%
M 7
 
3.7%
K 5
 
2.7%
I 5
 
2.7%
G 5
 
2.7%
L 5
 
2.7%
P 4
 
2.1%
Other values (12) 28
14.9%
Decimal Number
ValueCountFrequency (%)
1 1668
26.8%
2 868
13.9%
0 852
13.7%
3 658
 
10.6%
4 521
 
8.4%
5 422
 
6.8%
6 405
 
6.5%
7 304
 
4.9%
8 281
 
4.5%
9 252
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1243
99.9%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
6054
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20635
56.2%
Common 15906
43.3%
Latin 190
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2171
 
10.5%
평 1638
 
7.9%
동 1292
 
6.3%
천 1157
 
5.6%
인 1062
 
5.1%
시 1048
 
5.1%
광 1033
 
5.0%
로 1012
 
4.9%
역 1010
 
4.9%
구 1005
 
4.9%
Other values (280) 8207
39.8%
Latin
ValueCountFrequency (%)
A 58
30.5%
B 54
28.4%
S 10
 
5.3%
C 7
 
3.7%
M 7
 
3.7%
K 5
 
2.6%
I 5
 
2.6%
G 5
 
2.6%
L 5
 
2.6%
P 4
 
2.1%
Other values (14) 30
15.8%
Common
ValueCountFrequency (%)
6054
38.1%
1 1668
 
10.5%
, 1243
 
7.8%
) 1106
 
7.0%
( 1106
 
7.0%
2 868
 
5.5%
0 852
 
5.4%
3 658
 
4.1%
4 521
 
3.3%
5 422
 
2.7%
Other values (7) 1408
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20635
56.2%
ASCII 16096
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6054
37.6%
1 1668
 
10.4%
, 1243
 
7.7%
) 1106
 
6.9%
( 1106
 
6.9%
2 868
 
5.4%
0 852
 
5.3%
3 658
 
4.1%
4 521
 
3.2%
5 422
 
2.6%
Other values (31) 1598
 
9.9%
Hangul
ValueCountFrequency (%)
부 2171
 
10.5%
평 1638
 
7.9%
동 1292
 
6.3%
천 1157
 
5.6%
인 1062
 
5.1%
시 1048
 
5.1%
광 1033
 
5.0%
로 1012
 
4.9%
역 1010
 
4.9%
구 1005
 
4.9%
Other values (280) 8207
39.8%

영업소전화번호
Text

MISSING 

Distinct255
Distinct (%)97.3%
Missing736
Missing (%)73.7%
Memory size7.9 KiB
2024-03-18T14:08:20.491396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.866412
Min length9

Characters and Unicode

Total characters3109
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)94.7%

Sample

1st row1544-7382
2nd row032-521-0008
3rd row032-519-4002
4th row032-527-8541
5th row032-515-6016
ValueCountFrequency (%)
032-273-3349 2
 
0.8%
032-503-5618 2
 
0.8%
032-501-0940 2
 
0.8%
1577-4887 2
 
0.8%
032-215-8745 2
 
0.8%
032-521-2843 2
 
0.8%
032-505-7582 2
 
0.8%
032-555-0114 1
 
0.4%
032-518-2325 1
 
0.4%
032-527-5590 1
 
0.4%
Other values (245) 245
93.5%
2024-03-18T14:08:20.831640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 512
16.5%
0 494
15.9%
2 490
15.8%
3 408
13.1%
5 343
11.0%
1 212
6.8%
7 152
 
4.9%
4 135
 
4.3%
8 134
 
4.3%
6 125
 
4.0%
Other values (2) 104
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2596
83.5%
Dash Punctuation 512
 
16.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 494
19.0%
2 490
18.9%
3 408
15.7%
5 343
13.2%
1 212
8.2%
7 152
 
5.9%
4 135
 
5.2%
8 134
 
5.2%
6 125
 
4.8%
9 103
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 512
16.5%
0 494
15.9%
2 490
15.8%
3 408
13.1%
5 343
11.0%
1 212
6.8%
7 152
 
4.9%
4 135
 
4.3%
8 134
 
4.3%
6 125
 
4.0%
Other values (2) 104
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 512
16.5%
0 494
15.9%
2 490
15.8%
3 408
13.1%
5 343
11.0%
1 212
6.8%
7 152
 
4.9%
4 135
 
4.3%
8 134
 
4.3%
6 125
 
4.0%
Other values (2) 104
 
3.3%

Interactions

2024-03-18T14:08:18.422487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T14:08:18.520311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:08:18.596354image/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.
2024-03-18T14:08:18.676521image/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

순번영업소명영업소소재지(도로명)영업소전화번호
01주식회사 에듀마크인천광역시 부평구 부평북로 313, 상가동 205(일부)호 (갈산동, 태화아파트)1544-7382
12한톨이네점빵인천광역시 부평구 부평문화로141번길 18-5, 401호 (부평동, 정원빌리지)<NA>
23영진미래인천광역시 부평구 부일로19번길 10, 하비스트3 1303호 (부평동)<NA>
34(주)정인광학인천광역시 부평구 길주로547번길 5, 601호 (갈산동)032-521-0008
45휴족시간인천광역시 부평구 장제로 45, 부평 현대 더로프트 2동 205-2호 (부평동)<NA>
56나디브위생뷰티 인천갈산C-1점인천광역시 부평구 길주로 547, 5층 일부(A-5010)호 (갈산동)<NA>
67픽365인천광역시 부평구 마곡로 14, 두산위브아파트 107동 1002호 (산곡동)<NA>
78세리본헤어인천광역시 부평구 경원대로1377번길 35, 2층 (부평동)032-519-4002
89성화컴퍼니인천광역시 부평구 아트센터로 118, 105동 1103호 (십정동, 동암신동아아파트)<NA>
910GS25 십정신동아점인천광역시 부평구 동암산로 63, 1층 (십정동)<NA>
순번영업소명영업소소재지(도로명)영업소전화번호
988989서대문의료기인천광역시 부평구 장제로159번길 7, 2층 (부평동)032-516-0344
989990부평메디컬인천광역시 부평구 부평대로87번길 4 (부평동)032-514-9748
990991동신의료기인천광역시 부평구 동수로 49-2 (부평동)032-526-8682
991992(주)닥터보청기 부평지점인천광역시 부평구 경원대로 1366, 스테이션 타워 302호 (부평동)<NA>
992993(주)오케이메디케어인천광역시 부평구 장제로374번길 44, 경은교회 2층 일부호 (삼산동)<NA>
993994(주)바디프랜드 인천부평인천광역시 부평구 부평대로 130, 1층 (부평동)<NA>
994995한국메디칼인천광역시 부평구 부흥로293번길 30, 2층 (부평동)<NA>
995996희우주식회사인천광역시 부평구 부평대로 19-1, 도시프라자빌딩 2층 202호 (부평동)<NA>
996997프린팅솔루션인천광역시 부평구 수변로52번길 7-8, 1층 101호 (부개동)<NA>
997998렌탈스토어인천광역시 부평구 배곶로 8, 두두빌딩 303호 (십정동)1661-9687