Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory882.0 B
Average record size in memory29.4 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 남동구에 위치하는 치과기공소 현황에 대한 데이터로 연번, 치과기공소명, 치과기공소 소재지(도로명) 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3078235&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique
치과기공소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:52:40.808154
Analysis finished2024-01-28 07:52:41.117409
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-28T16:52:41.182221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-01-28T16:52:41.303314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

치과기공소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T16:52:41.491352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.7333333
Min length7

Characters and Unicode

Total characters262
Distinct characters77
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row케이투치과기공소
2nd row이음치과기공소
3rd row오케이 치과기공소
4th row루미너스치과기공소
5th row오피씨 치과기공소
ValueCountFrequency (%)
치과기공소 2
 
6.2%
케이투치과기공소 1
 
3.1%
아람(aram)치과기공소 1
 
3.1%
만나치과기공소 1
 
3.1%
아카데미치과기공소 1
 
3.1%
한솔치과기공소 1
 
3.1%
위드(with)치과기공소 1
 
3.1%
다솔치과기공소 1
 
3.1%
아덴스치과기공소 1
 
3.1%
내이치과기공소 1
 
3.1%
Other values (21) 21
65.6%
2024-01-28T16:52:41.798908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 30
 
11.5%
과 30
 
11.5%
기 30
 
11.5%
공 30
 
11.5%
소 30
 
11.5%
이 7
 
2.7%
) 5
 
1.9%
( 5
 
1.9%
아 4
 
1.5%
스 4
 
1.5%
Other values (67) 87
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
87.4%
Lowercase Letter 15
 
5.7%
Close Punctuation 5
 
1.9%
Open Punctuation 5
 
1.9%
Uppercase Letter 4
 
1.5%
Space Separator 2
 
0.8%
Other Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 30
13.1%
과 30
13.1%
기 30
13.1%
공 30
13.1%
소 30
13.1%
이 7
 
3.1%
아 4
 
1.7%
스 4
 
1.7%
에 3
 
1.3%
세 2
 
0.9%
Other values (47) 59
25.8%
Lowercase Letter
ValueCountFrequency (%)
a 3
20.0%
m 2
13.3%
o 2
13.3%
s 1
 
6.7%
w 1
 
6.7%
i 1
 
6.7%
h 1
 
6.7%
t 1
 
6.7%
e 1
 
6.7%
r 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
E 1
25.0%
F 1
25.0%
A 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
87.4%
Latin 19
 
7.3%
Common 14
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 30
13.1%
과 30
13.1%
기 30
13.1%
공 30
13.1%
소 30
13.1%
이 7
 
3.1%
아 4
 
1.7%
스 4
 
1.7%
에 3
 
1.3%
세 2
 
0.9%
Other values (47) 59
25.8%
Latin
ValueCountFrequency (%)
a 3
15.8%
m 2
 
10.5%
o 2
 
10.5%
D 1
 
5.3%
s 1
 
5.3%
w 1
 
5.3%
E 1
 
5.3%
i 1
 
5.3%
F 1
 
5.3%
h 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
) 5
35.7%
( 5
35.7%
2
 
14.3%
& 1
 
7.1%
- 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
87.4%
ASCII 33
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 30
13.1%
과 30
13.1%
기 30
13.1%
공 30
13.1%
소 30
13.1%
이 7
 
3.1%
아 4
 
1.7%
스 4
 
1.7%
에 3
 
1.3%
세 2
 
0.9%
Other values (47) 59
25.8%
ASCII
ValueCountFrequency (%)
) 5
15.2%
( 5
15.2%
a 3
 
9.1%
m 2
 
6.1%
o 2
 
6.1%
2
 
6.1%
& 1
 
3.0%
D 1
 
3.0%
s 1
 
3.0%
w 1
 
3.0%
Other values (10) 10
30.3%

소재지(도로명)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-28T16:52:42.041603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40.5
Mean length35.033333
Min length23

Characters and Unicode

Total characters1051
Distinct characters91
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 호구포로764번길 73, 1층 좌측호 (구월동)
2nd row인천광역시 남동구 경인로 637, 신일타일 301호 (간석동)
3rd row인천광역시 남동구 선수촌공원로 9, 구월테크노밸리 B동 808호 (구월동)
4th row인천광역시 남동구 호구포로535번길 16, 풍림아파트상가 2층 202호 (남촌동)
5th row인천광역시 남동구 문화서로23번길 55, 1층 (구월동)
ValueCountFrequency (%)
인천광역시 30
 
14.6%
남동구 30
 
14.6%
구월동 18
 
8.8%
만수동 7
 
3.4%
3층 7
 
3.4%
간석동 4
 
2.0%
호구포로 4
 
2.0%
302호 4
 
2.0%
2층 4
 
2.0%
9 3
 
1.5%
Other values (77) 94
45.9%
2024-01-28T16:52:42.413916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
16.7%
동 65
 
6.2%
구 60
 
5.7%
, 38
 
3.6%
인 34
 
3.2%
남 33
 
3.1%
천 32
 
3.0%
( 31
 
2.9%
) 31
 
2.9%
3 30
 
2.9%
Other values (81) 522
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
56.7%
Space Separator 175
 
16.7%
Decimal Number 173
 
16.5%
Other Punctuation 38
 
3.6%
Open Punctuation 31
 
2.9%
Close Punctuation 31
 
2.9%
Dash Punctuation 4
 
0.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
 
10.9%
구 60
 
10.1%
인 34
 
5.7%
남 33
 
5.5%
천 32
 
5.4%
로 30
 
5.0%
시 30
 
5.0%
역 30
 
5.0%
광 30
 
5.0%
호 27
 
4.5%
Other values (64) 225
37.8%
Decimal Number
ValueCountFrequency (%)
3 30
17.3%
2 28
16.2%
0 20
11.6%
1 20
11.6%
7 16
9.2%
5 14
8.1%
4 14
8.1%
8 13
7.5%
6 12
 
6.9%
9 6
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
175
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
56.7%
Common 452
43.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
 
10.9%
구 60
 
10.1%
인 34
 
5.7%
남 33
 
5.5%
천 32
 
5.4%
로 30
 
5.0%
시 30
 
5.0%
역 30
 
5.0%
광 30
 
5.0%
호 27
 
4.5%
Other values (64) 225
37.8%
Common
ValueCountFrequency (%)
175
38.7%
, 38
 
8.4%
( 31
 
6.9%
) 31
 
6.9%
3 30
 
6.6%
2 28
 
6.2%
0 20
 
4.4%
1 20
 
4.4%
7 16
 
3.5%
5 14
 
3.1%
Other values (5) 49
 
10.8%
Latin
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
56.7%
ASCII 455
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
38.5%
, 38
 
8.4%
( 31
 
6.8%
) 31
 
6.8%
3 30
 
6.6%
2 28
 
6.2%
0 20
 
4.4%
1 20
 
4.4%
7 16
 
3.5%
5 14
 
3.1%
Other values (7) 52
 
11.4%
Hangul
ValueCountFrequency (%)
동 65
 
10.9%
구 60
 
10.1%
인 34
 
5.7%
남 33
 
5.5%
천 32
 
5.4%
로 30
 
5.0%
시 30
 
5.0%
역 30
 
5.0%
광 30
 
5.0%
호 27
 
4.5%
Other values (64) 225
37.8%

Interactions

2024-01-28T16:52:40.930318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:52:42.500466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호치과기공소명소재지(도로명)
번호1.0001.0001.000
치과기공소명1.0001.0001.000
소재지(도로명)1.0001.0001.000

Missing values

2024-01-28T16:52:41.024965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:52:41.089711image/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

번호치과기공소명소재지(도로명)
01케이투치과기공소인천광역시 남동구 호구포로764번길 73, 1층 좌측호 (구월동)
12이음치과기공소인천광역시 남동구 경인로 637, 신일타일 301호 (간석동)
23오케이 치과기공소인천광역시 남동구 선수촌공원로 9, 구월테크노밸리 B동 808호 (구월동)
34루미너스치과기공소인천광역시 남동구 호구포로535번길 16, 풍림아파트상가 2층 202호 (남촌동)
45오피씨 치과기공소인천광역시 남동구 문화서로23번길 55, 1층 (구월동)
56클리어치과기공소인천광역시 남동구 백범로247번길 22, 3층 302호 (구월동)
67동인치과기공소인천광역시 남동구 구월로372번길 13-17, 3층 (만수동)
78모모치과기공소인천광역시 남동구 인주대로 725, 3층일부호 (구월동, 삼보빌딩)
89아름치과기공소인천광역시 남동구 문화로 59, 3층 (구월동)
910에덴치과기공소인천광역시 남동구 백범로 381, 204호 (간석동, 웰스하임)
번호치과기공소명소재지(도로명)
2021세종치과기공소인천광역시 남동구 문화서로23번길 3, 4층 (구월동)
2122유엔지치과기공소인천광역시 남동구 남동대로774번길 35, 5층 (구월동)
2223내이치과기공소인천광역시 남동구 장승남로 35, 502호 (만수동, 대영프라자)
2324아덴스치과기공소인천광역시 남동구 예술로284번길 30, 3층 (간석동)
2425다솔치과기공소인천광역시 남동구 인주대로676번길 18, 3층 302호 (구월동, 동아아파트상가)
2526위드(with)치과기공소인천광역시 남동구 주안로 258 (간석동, 301, 302호)
2627한솔치과기공소인천광역시 남동구 용천로 120 (구월동)
2728아카데미치과기공소인천광역시 남동구 백범로 147-1, 2층 (만수동)
2829만나치과기공소인천광역시 남동구 구월로336번길 9, 3층 2호일부호 (만수동)
2930수정치과기공소인천광역시 남동구 하촌로59번길 4-24, 2층 (만수동)