Overview

Dataset statistics

Number of variables5
Number of observations37
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.6 B

Variable types

Numeric1
Text4

Dataset

Description강원특별자치도 원주시의 치과기공소 현황에 대한 데이터입니다. 기공소명, 대표자명, 주소, 연락처 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15114463/fileData.do

Alerts

연락처 has 1 (2.7%) missing valuesMissing
연번 has unique valuesUnique
기공소명 has unique valuesUnique
대표자명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:34:58.465700
Analysis finished2023-12-12 23:34:58.925214
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-13T08:34:58.988884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-13T08:34:59.112786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

기공소명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T08:34:59.283005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.2702703
Min length5

Characters and Unicode

Total characters306
Distinct characters98
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

Unique37 ?
Unique (%)100.0%

Sample

1st row한솔치과기공소
2nd row지스마트(하이지)치과기공소
3rd row라임치과기공소
4th rowZ-max 치과기공소
5th row당신을 GRIN 기공소
ValueCountFrequency (%)
치과기공소 4
 
8.9%
한솔치과기공소 1
 
2.2%
고은기공소 1
 
2.2%
최강치과기공소 1
 
2.2%
더디자인치과기공소 1
 
2.2%
베이직치과기공소 1
 
2.2%
플러스치과기공소 1
 
2.2%
심미치과기공소 1
 
2.2%
아름다운치과기공소 1
 
2.2%
아름다운동행치과기공소 1
 
2.2%
Other values (32) 32
71.1%
2023-12-13T08:34:59.619316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 36
 
11.8%
기 35
 
11.4%
공 35
 
11.4%
치 31
 
10.1%
과 31
 
10.1%
8
 
2.6%
이 6
 
2.0%
스 4
 
1.3%
운 3
 
1.0%
가 3
 
1.0%
Other values (88) 114
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
87.9%
Lowercase Letter 13
 
4.2%
Uppercase Letter 10
 
3.3%
Space Separator 8
 
2.6%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Dash Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 36
13.4%
기 35
13.0%
공 35
13.0%
치 31
 
11.5%
과 31
 
11.5%
이 6
 
2.2%
스 4
 
1.5%
운 3
 
1.1%
가 3
 
1.1%
온 3
 
1.1%
Other values (64) 82
30.5%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
l 2
15.4%
s 1
 
7.7%
u 1
 
7.7%
b 1
 
7.7%
x 1
 
7.7%
m 1
 
7.7%
t 1
 
7.7%
n 1
 
7.7%
e 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 2
20.0%
P 1
10.0%
I 1
10.0%
R 1
10.0%
G 1
10.0%
Z 1
10.0%
L 1
10.0%
D 1
10.0%
T 1
10.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
87.9%
Latin 23
 
7.5%
Common 14
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 36
13.4%
기 35
13.0%
공 35
13.0%
치 31
 
11.5%
과 31
 
11.5%
이 6
 
2.2%
스 4
 
1.5%
운 3
 
1.1%
가 3
 
1.1%
온 3
 
1.1%
Other values (64) 82
30.5%
Latin
ValueCountFrequency (%)
a 3
 
13.0%
N 2
 
8.7%
l 2
 
8.7%
s 1
 
4.3%
u 1
 
4.3%
P 1
 
4.3%
b 1
 
4.3%
I 1
 
4.3%
R 1
 
4.3%
G 1
 
4.3%
Other values (9) 9
39.1%
Common
ValueCountFrequency (%)
8
57.1%
( 2
 
14.3%
) 2
 
14.3%
- 1
 
7.1%
& 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
87.9%
ASCII 37
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 36
13.4%
기 35
13.0%
공 35
13.0%
치 31
 
11.5%
과 31
 
11.5%
이 6
 
2.2%
스 4
 
1.5%
운 3
 
1.1%
가 3
 
1.1%
온 3
 
1.1%
Other values (64) 82
30.5%
ASCII
ValueCountFrequency (%)
8
21.6%
a 3
 
8.1%
N 2
 
5.4%
l 2
 
5.4%
( 2
 
5.4%
) 2
 
5.4%
s 1
 
2.7%
u 1
 
2.7%
P 1
 
2.7%
b 1
 
2.7%
Other values (14) 14
37.8%

대표자명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T08:34:59.810709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters111
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row최종성
2nd row김태석
3rd row이경복
4th row김현호
5th row강은기
ValueCountFrequency (%)
최종성 1
 
2.7%
임봉미 1
 
2.7%
김남현 1
 
2.7%
이기석 1
 
2.7%
손영호 1
 
2.7%
김동성 1
 
2.7%
임종호 1
 
2.7%
서상현 1
 
2.7%
황치원 1
 
2.7%
신극섭 1
 
2.7%
Other values (27) 27
73.0%
2023-12-13T08:35:00.113235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
9.9%
이 8
 
7.2%
현 5
 
4.5%
동 5
 
4.5%
영 5
 
4.5%
호 4
 
3.6%
종 4
 
3.6%
성 3
 
2.7%
석 3
 
2.7%
환 3
 
2.7%
Other values (44) 60
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
9.9%
이 8
 
7.2%
현 5
 
4.5%
동 5
 
4.5%
영 5
 
4.5%
호 4
 
3.6%
종 4
 
3.6%
성 3
 
2.7%
석 3
 
2.7%
환 3
 
2.7%
Other values (44) 60
54.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
9.9%
이 8
 
7.2%
현 5
 
4.5%
동 5
 
4.5%
영 5
 
4.5%
호 4
 
3.6%
종 4
 
3.6%
성 3
 
2.7%
석 3
 
2.7%
환 3
 
2.7%
Other values (44) 60
54.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
9.9%
이 8
 
7.2%
현 5
 
4.5%
동 5
 
4.5%
영 5
 
4.5%
호 4
 
3.6%
종 4
 
3.6%
성 3
 
2.7%
석 3
 
2.7%
환 3
 
2.7%
Other values (44) 60
54.1%

주소
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T08:35:00.408432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length31
Min length24

Characters and Unicode

Total characters1147
Distinct characters97
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

Unique37 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 원주시 중앙로 154, 2층 (중앙동)
2nd row강원특별자치도 원주시 무실로 148, 청마빌딩 2층 (일산동)
3rd row강원특별자치도 원주시 남산로 61, 2층 (원동)
4th row강원특별자치도 원주시 원문로 174-1, 3층 (단계동)
5th row강원특별자치도 원주시 서원대로 402, 대신프라자 404호 (단구동)
ValueCountFrequency (%)
강원특별자치도 37
 
16.4%
원주시 37
 
16.4%
2층 9
 
4.0%
단계동 9
 
4.0%
서원대로 5
 
2.2%
일산동 5
 
2.2%
3층 5
 
2.2%
단구동 4
 
1.8%
학성동 4
 
1.8%
원문로 4
 
1.8%
Other values (83) 107
47.3%
2023-12-13T08:35:00.831484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
16.5%
원 94
 
8.2%
동 41
 
3.6%
치 39
 
3.4%
주 39
 
3.4%
강 38
 
3.3%
( 38
 
3.3%
자 38
 
3.3%
시 38
 
3.3%
) 38
 
3.3%
Other values (87) 555
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
59.9%
Space Separator 189
 
16.5%
Decimal Number 158
 
13.8%
Open Punctuation 38
 
3.3%
Close Punctuation 38
 
3.3%
Other Punctuation 31
 
2.7%
Dash Punctuation 4
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 94
 
13.7%
동 41
 
6.0%
치 39
 
5.7%
주 39
 
5.7%
강 38
 
5.5%
자 38
 
5.5%
시 38
 
5.5%
특 37
 
5.4%
별 37
 
5.4%
도 37
 
5.4%
Other values (70) 249
36.2%
Decimal Number
ValueCountFrequency (%)
1 33
20.9%
2 26
16.5%
4 22
13.9%
3 17
10.8%
0 14
8.9%
6 12
 
7.6%
5 11
 
7.0%
8 11
 
7.0%
7 9
 
5.7%
9 3
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
59.9%
Common 458
39.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 94
 
13.7%
동 41
 
6.0%
치 39
 
5.7%
주 39
 
5.7%
강 38
 
5.5%
자 38
 
5.5%
시 38
 
5.5%
특 37
 
5.4%
별 37
 
5.4%
도 37
 
5.4%
Other values (70) 249
36.2%
Common
ValueCountFrequency (%)
189
41.3%
( 38
 
8.3%
) 38
 
8.3%
1 33
 
7.2%
, 31
 
6.8%
2 26
 
5.7%
4 22
 
4.8%
3 17
 
3.7%
0 14
 
3.1%
6 12
 
2.6%
Other values (5) 38
 
8.3%
Latin
ValueCountFrequency (%)
R 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
59.9%
ASCII 460
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
41.1%
( 38
 
8.3%
) 38
 
8.3%
1 33
 
7.2%
, 31
 
6.7%
2 26
 
5.7%
4 22
 
4.8%
3 17
 
3.7%
0 14
 
3.0%
6 12
 
2.6%
Other values (7) 40
 
8.7%
Hangul
ValueCountFrequency (%)
원 94
 
13.7%
동 41
 
6.0%
치 39
 
5.7%
주 39
 
5.7%
강 38
 
5.5%
자 38
 
5.5%
시 38
 
5.5%
특 37
 
5.4%
별 37
 
5.4%
도 37
 
5.4%
Other values (70) 249
36.2%

연락처
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing1
Missing (%)2.7%
Memory size428.0 B
2023-12-13T08:35:01.033821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters435
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

Unique36 ?
Unique (%)100.0%

Sample

1st row033-732-2801
2nd row033-900-0028
3rd row033-742-2804
4th row033-761-2883
5th row033-762-2888
ValueCountFrequency (%)
033-732-2801 1
 
2.8%
033-900-0028 1
 
2.8%
033-733-2804 1
 
2.8%
033-900-7760 1
 
2.8%
033-745-2802 1
 
2.8%
033-901-8228 1
 
2.8%
070-8791-2879 1
 
2.8%
033-746-2272 1
 
2.8%
033-766-7541 1
 
2.8%
033-735-2806 1
 
2.8%
Other values (26) 26
72.2%
2023-12-13T08:35:01.377208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 85
19.5%
- 72
16.6%
0 65
14.9%
7 44
10.1%
2 41
9.4%
8 37
8.5%
4 28
 
6.4%
6 27
 
6.2%
1 13
 
3.0%
9 13
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 363
83.4%
Dash Punctuation 72
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 85
23.4%
0 65
17.9%
7 44
12.1%
2 41
11.3%
8 37
10.2%
4 28
 
7.7%
6 27
 
7.4%
1 13
 
3.6%
9 13
 
3.6%
5 10
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 435
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 85
19.5%
- 72
16.6%
0 65
14.9%
7 44
10.1%
2 41
9.4%
8 37
8.5%
4 28
 
6.4%
6 27
 
6.2%
1 13
 
3.0%
9 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 85
19.5%
- 72
16.6%
0 65
14.9%
7 44
10.1%
2 41
9.4%
8 37
8.5%
4 28
 
6.4%
6 27
 
6.2%
1 13
 
3.0%
9 13
 
3.0%

Interactions

2023-12-13T08:34:58.730041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:35:01.478228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기공소명대표자명주소연락처
연번1.0001.0001.0001.0001.000
기공소명1.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000

Missing values

2023-12-13T08:34:58.817504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:34:58.889499image/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

연번기공소명대표자명주소연락처
01한솔치과기공소최종성강원특별자치도 원주시 중앙로 154, 2층 (중앙동)033-732-2801
12지스마트(하이지)치과기공소김태석강원특별자치도 원주시 무실로 148, 청마빌딩 2층 (일산동)<NA>
23라임치과기공소이경복강원특별자치도 원주시 남산로 61, 2층 (원동)033-900-0028
34Z-max 치과기공소김현호강원특별자치도 원주시 원문로 174-1, 3층 (단계동)033-742-2804
45당신을 GRIN 기공소강은기강원특별자치도 원주시 서원대로 402, 대신프라자 404호 (단구동)033-761-2883
56크라운치과기공소김홍선강원특별자치도 원주시 무실로43번길 1, 1층 (원동)033-762-2888
67가온플러스치과기공소박용상강원특별자치도 원주시 무실로 95, 3층 (원동)033-764-2879
78엔엔티덴탈랩(N&T Dental Lab)김연수강원특별자치도 원주시 솔우물2길 25-1, 3층 (무실동)033-747-2804
89가온누리치과기공소김영윤강원특별자치도 원주시 미래로 1, (주)강림빌딩 201호 (반곡동)033-734-2879
910해피페이스이동훈강원특별자치도 원주시 원일로 183, 3층 (학성동)033-742-2803
연번기공소명대표자명주소연락처
2728고은기공소황치원강원특별자치도 원주시 서원대로 408 (단구동, 광장타운빌딩 203호)033-766-7541
2829믿음치과기공소신극섭강원특별자치도 원주시 이화4길 75 (단계동, 1층)033-735-2806
2930수치과기공소강대수강원특별자치도 원주시 남원로534번길 14, 6층 (단구동)033-765-2879
3031아카데미치과기공소한정민강원특별자치도 원주시 중앙로 105, 4층 (중앙동, PR빌딩)033-745-2879
3132이사랑치과기공소김성호강원특별자치도 원주시 평원로 72, 2층 (평원동)033-748-1804
3233대성치과기공소이종환강원특별자치도 원주시 원일로 260, 가동 302호 (학성동)033-904-2812
3334준치과기공소김영준강원특별자치도 원주시 치악로 1640 (단구동)033-763-6669
3435영서치과기공소신동재강원특별자치도 원주시 남부시장길 18 (명륜동)033-761-8664
3536신치과기공소신동하강원특별자치도 원주시 원문로 66 (학성동)033-746-0136
3637매일기공소남중우강원특별자치도 원주시 능라동길 74, 5층 504호 (무실동)033-812-2882