Overview

Dataset statistics

Number of variables4
Number of observations1054
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.1 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description인천광역시 남동구 소재 의료기기판매업소들에 대한 데이터로 연번, 업소명, 업소주소, 데이터기준일자 정보를 공개합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038941&srcSe=7661IVAWM27C61E190

Alerts

기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:38:23.672869
Analysis finished2024-01-28 12:38:24.285492
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1054
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean527.5
Minimum1
Maximum1054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2024-01-28T21:38:24.346869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53.65
Q1264.25
median527.5
Q3790.75
95-th percentile1001.35
Maximum1054
Range1053
Interquartile range (IQR)526.5

Descriptive statistics

Standard deviation304.4079
Coefficient of variation (CV)0.57707658
Kurtosis-1.2
Mean527.5
Median Absolute Deviation (MAD)263.5
Skewness0
Sum555985
Variance92664.167
MonotonicityStrictly increasing
2024-01-28T21:38:24.460489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
694 1
 
0.1%
696 1
 
0.1%
697 1
 
0.1%
698 1
 
0.1%
699 1
 
0.1%
700 1
 
0.1%
701 1
 
0.1%
702 1
 
0.1%
703 1
 
0.1%
Other values (1044) 1044
99.1%
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 (%)
1054 1
0.1%
1053 1
0.1%
1052 1
0.1%
1051 1
0.1%
1050 1
0.1%
1049 1
0.1%
1048 1
0.1%
1047 1
0.1%
1046 1
0.1%
1045 1
0.1%
Distinct1049
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-01-28T21:38:24.706666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length8.2741935
Min length2

Characters and Unicode

Total characters8721
Distinct characters522
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

Unique1044 ?
Unique (%)99.1%

Sample

1st row제이앤비메드
2nd row모라온(MORAON)
3rd row모래내복지용구
4th row주식회사비앤제이글로벌
5th row피제이스토어
ValueCountFrequency (%)
세븐일레븐 74
 
4.9%
gs25 65
 
4.3%
주식회사 40
 
2.6%
씨유 40
 
2.6%
cu 25
 
1.6%
지에스25 21
 
1.4%
이마트24 17
 
1.1%
인천논현점 8
 
0.5%
미니스톱 6
 
0.4%
보청기 5
 
0.3%
Other values (1138) 1219
80.2%
2024-01-28T21:38:25.070548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
 
5.3%
403
 
4.6%
250
 
2.9%
240
 
2.8%
186
 
2.1%
172
 
2.0%
170
 
1.9%
) 156
 
1.8%
( 156
 
1.8%
2 147
 
1.7%
Other values (512) 6375
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7195
82.5%
Space Separator 466
 
5.3%
Uppercase Letter 353
 
4.0%
Decimal Number 310
 
3.6%
Close Punctuation 156
 
1.8%
Open Punctuation 156
 
1.8%
Lowercase Letter 74
 
0.8%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
403
 
5.6%
250
 
3.5%
240
 
3.3%
186
 
2.6%
172
 
2.4%
170
 
2.4%
133
 
1.8%
123
 
1.7%
115
 
1.6%
112
 
1.6%
Other values (458) 5291
73.5%
Uppercase Letter
ValueCountFrequency (%)
S 97
27.5%
G 92
26.1%
C 50
14.2%
U 43
12.2%
H 8
 
2.3%
M 8
 
2.3%
T 7
 
2.0%
O 6
 
1.7%
N 6
 
1.7%
D 6
 
1.7%
Other values (10) 30
 
8.5%
Lowercase Letter
ValueCountFrequency (%)
e 13
17.6%
s 6
 
8.1%
m 6
 
8.1%
a 6
 
8.1%
r 6
 
8.1%
c 6
 
8.1%
g 5
 
6.8%
u 3
 
4.1%
i 3
 
4.1%
d 3
 
4.1%
Other values (7) 17
23.0%
Decimal Number
ValueCountFrequency (%)
2 147
47.4%
5 121
39.0%
4 22
 
7.1%
3 6
 
1.9%
1 5
 
1.6%
8 3
 
1.0%
9 2
 
0.6%
0 2
 
0.6%
6 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7198
82.5%
Common 1096
 
12.6%
Latin 427
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
403
 
5.6%
250
 
3.5%
240
 
3.3%
186
 
2.6%
172
 
2.4%
170
 
2.4%
133
 
1.8%
123
 
1.7%
115
 
1.6%
112
 
1.6%
Other values (459) 5294
73.5%
Latin
ValueCountFrequency (%)
S 97
22.7%
G 92
21.5%
C 50
11.7%
U 43
10.1%
e 13
 
3.0%
H 8
 
1.9%
M 8
 
1.9%
T 7
 
1.6%
s 6
 
1.4%
O 6
 
1.4%
Other values (27) 97
22.7%
Common
ValueCountFrequency (%)
466
42.5%
) 156
 
14.2%
( 156
 
14.2%
2 147
 
13.4%
5 121
 
11.0%
4 22
 
2.0%
3 6
 
0.5%
1 5
 
0.5%
8 3
 
0.3%
- 3
 
0.3%
Other values (6) 11
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7195
82.5%
ASCII 1523
 
17.5%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
30.6%
) 156
 
10.2%
( 156
 
10.2%
2 147
 
9.7%
5 121
 
7.9%
S 97
 
6.4%
G 92
 
6.0%
C 50
 
3.3%
U 43
 
2.8%
4 22
 
1.4%
Other values (43) 173
 
11.4%
Hangul
ValueCountFrequency (%)
403
 
5.6%
250
 
3.5%
240
 
3.3%
186
 
2.6%
172
 
2.4%
170
 
2.4%
133
 
1.8%
123
 
1.7%
115
 
1.6%
112
 
1.6%
Other values (458) 5291
73.5%
None
ValueCountFrequency (%)
3
100.0%
Distinct1047
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-01-28T21:38:25.364199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length55
Mean length38.279886
Min length23

Characters and Unicode

Total characters40347
Distinct characters362
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

Unique1040 ?
Unique (%)98.7%

Sample

1st row인천광역시 남동구 논고개로123번길 45, 4층 403-13호 (논현동)
2nd row인천광역시 남동구 하촌서로 59, 신성빌딩 2층 2-2호 (만수동)
3rd row인천광역시 남동구 구월남로 270, 1층 101호 (구월동)
4th row인천광역시 남동구 만수서로 55, 136동 2501호 (만수동, 포레시안(Foresian))
5th row인천광역시 남동구 서창남순환로 110, 309동 1501호 (서창동, 엘에이치청아안)
ValueCountFrequency (%)
인천광역시 1054
 
13.7%
남동구 1054
 
13.7%
구월동 339
 
4.4%
1층 324
 
4.2%
논현동 209
 
2.7%
간석동 184
 
2.4%
만수동 175
 
2.3%
일부호 137
 
1.8%
2층 91
 
1.2%
서창동 58
 
0.8%
Other values (1597) 4057
52.8%
2024-01-28T21:38:25.785298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6630
 
16.4%
2390
 
5.9%
1 1878
 
4.7%
1567
 
3.9%
, 1397
 
3.5%
1265
 
3.1%
1201
 
3.0%
1112
 
2.8%
) 1101
 
2.7%
( 1101
 
2.7%
Other values (352) 20705
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22594
56.0%
Decimal Number 7204
 
17.9%
Space Separator 6630
 
16.4%
Other Punctuation 1399
 
3.5%
Close Punctuation 1101
 
2.7%
Open Punctuation 1101
 
2.7%
Dash Punctuation 192
 
0.5%
Uppercase Letter 91
 
0.2%
Lowercase Letter 28
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2390
 
10.6%
1567
 
6.9%
1265
 
5.6%
1201
 
5.3%
1112
 
4.9%
1097
 
4.9%
1084
 
4.8%
1078
 
4.8%
1072
 
4.7%
943
 
4.2%
Other values (305) 9785
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 26
28.6%
A 16
17.6%
L 10
 
11.0%
H 5
 
5.5%
G 5
 
5.5%
C 4
 
4.4%
K 3
 
3.3%
D 3
 
3.3%
N 3
 
3.3%
F 3
 
3.3%
Other values (9) 13
14.3%
Decimal Number
ValueCountFrequency (%)
1 1878
26.1%
2 986
13.7%
0 976
13.5%
3 679
 
9.4%
4 595
 
8.3%
5 548
 
7.6%
7 441
 
6.1%
6 421
 
5.8%
8 346
 
4.8%
9 334
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
s 6
21.4%
a 4
14.3%
o 3
10.7%
r 3
10.7%
e 3
10.7%
i 3
10.7%
n 3
10.7%
b 1
 
3.6%
l 1
 
3.6%
g 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 1397
99.9%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6630
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22594
56.0%
Common 17634
43.7%
Latin 119
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2390
 
10.6%
1567
 
6.9%
1265
 
5.6%
1201
 
5.3%
1112
 
4.9%
1097
 
4.9%
1084
 
4.8%
1078
 
4.8%
1072
 
4.7%
943
 
4.2%
Other values (305) 9785
43.3%
Latin
ValueCountFrequency (%)
B 26
21.8%
A 16
13.4%
L 10
 
8.4%
s 6
 
5.0%
H 5
 
4.2%
G 5
 
4.2%
a 4
 
3.4%
C 4
 
3.4%
K 3
 
2.5%
D 3
 
2.5%
Other values (19) 37
31.1%
Common
ValueCountFrequency (%)
6630
37.6%
1 1878
 
10.6%
, 1397
 
7.9%
) 1101
 
6.2%
( 1101
 
6.2%
2 986
 
5.6%
0 976
 
5.5%
3 679
 
3.9%
4 595
 
3.4%
5 548
 
3.1%
Other values (8) 1743
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22594
56.0%
ASCII 17753
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6630
37.3%
1 1878
 
10.6%
, 1397
 
7.9%
) 1101
 
6.2%
( 1101
 
6.2%
2 986
 
5.6%
0 976
 
5.5%
3 679
 
3.8%
4 595
 
3.4%
5 548
 
3.1%
Other values (37) 1862
 
10.5%
Hangul
ValueCountFrequency (%)
2390
 
10.6%
1567
 
6.9%
1265
 
5.6%
1201
 
5.3%
1112
 
4.9%
1097
 
4.9%
1084
 
4.8%
1078
 
4.8%
1072
 
4.7%
943
 
4.2%
Other values (305) 9785
43.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-05-11
1054 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-11
2nd row2023-05-11
3rd row2023-05-11
4th row2023-05-11
5th row2023-05-11

Common Values

ValueCountFrequency (%)
2023-05-11 1054
100.0%

Length

2024-01-28T21:38:25.931281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:38:26.024995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-11 1054
100.0%

Interactions

2024-01-28T21:38:24.088796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T21:38:24.189474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:38:24.257282image/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

연번영업소명영업소소재지(도로명)기준일자
01제이앤비메드인천광역시 남동구 논고개로123번길 45, 4층 403-13호 (논현동)2023-05-11
12모라온(MORAON)인천광역시 남동구 하촌서로 59, 신성빌딩 2층 2-2호 (만수동)2023-05-11
23모래내복지용구인천광역시 남동구 구월남로 270, 1층 101호 (구월동)2023-05-11
34주식회사비앤제이글로벌인천광역시 남동구 만수서로 55, 136동 2501호 (만수동, 포레시안(Foresian))2023-05-11
45피제이스토어인천광역시 남동구 서창남순환로 110, 309동 1501호 (서창동, 엘에이치청아안)2023-05-11
56지에스25 구월베스트점인천광역시 남동구 인주대로551번길 18, 1층 (구월동)2023-05-11
67영이유인천광역시 남동구 백범로294번길 16, 201동 501호 (간석동, 인천간석엘에이치2단지)2023-05-11
78케이화컴퍼니인천광역시 남동구 용천로 138, 201호 (간석동)2023-05-11
89뉴가온메드인천광역시 남동구 선수촌공원로23번길 11, 네이쳐프라자 501호 제35-4호 (구월동)2023-05-11
910코니코어시스템인천광역시 남동구 논고개로 17, 1108동 2104호 (논현동, 에코메트로11단지한화꿈에그린아파트)2023-05-11
연번영업소명영업소소재지(도로명)기준일자
10441045세우의료기인천광역시 남동구 남동대로774번길 36 (구월동)2023-05-11
10451046홈플러스(주)구월점인천광역시 남동구 예술로 198, CGV 홈플러스 일부호 (구월동)2023-05-11
10461047(주)대일메디칼인천광역시 남동구 선수촌공원로17번길 1, 구월테크노밸리 1층 106호 (구월동)2023-05-11
10471048성산의료기인천광역시 남동구 독점로 29, 해명프라자 (구월동)2023-05-11
10481049푸른의료기기상사인천광역시 남동구 인주대로 857 (만수동)2023-05-11
10491050스타키보청기인천광역시 남동구 구월남로 172, 5층 503호 (구월동)2023-05-11
10501051인천치과의사신용협동조합인천광역시 남동구 구월남로 148, 702호 (구월동, 타워플러스)2023-05-11
10511052삼일메디텍인천광역시 남동구 남동대로837번길 5, 금호프라자 B08호 (간석동)2023-05-11
10521053새길의료기인천광역시 남동구 독점로29번길 38 (구월동)2023-05-11
10531054남동의료기인천광역시 남동구 하촌서로 8-1 (만수동)2023-05-11