Overview

Dataset statistics

Number of variables4
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory36.9 B

Variable types

Numeric1
Text3

Dataset

Description등록된 데이터는 부산광역시 금정구 소재의 치과기공소 현황으로 치과기공소의 업소명, 소재지, 전화번호 등을 제공합니다
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15023367/fileData.do

Alerts

순번 has unique valuesUnique
치과기공소명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:50:24.930439
Analysis finished2024-03-23 05:50:25.509251
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-23T14:50:25.955798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2024-03-23T14:50:26.149577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

치과기공소명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-23T14:50:26.411366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length7.6764706
Min length6

Characters and Unicode

Total characters261
Distinct characters79
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row조은치과기공소
2nd row다원치과기공소
3rd row무창치과기공소
4th row티에스엠(TSM)치과기공소
5th row예리미치과기공소
ValueCountFrequency (%)
치과기공소 2
 
5.3%
다림치과기공소 1
 
2.6%
청솔치과기공소 1
 
2.6%
수석치과기공소 1
 
2.6%
화인치과기공소 1
 
2.6%
한국덴타륨치과기공소 1
 
2.6%
신한치과기공소 1
 
2.6%
금사치과기공소 1
 
2.6%
다원치과기공소 1
 
2.6%
덴텍치과기공소 1
 
2.6%
Other values (27) 27
71.1%
2024-03-23T14:50:26.913952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 34
13.0%
공 34
13.0%
소 34
13.0%
치 33
12.6%
과 33
12.6%
4
 
1.5%
다 4
 
1.5%
덴 3
 
1.1%
스 2
 
0.8%
은 2
 
0.8%
Other values (69) 78
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
95.8%
Space Separator 4
 
1.5%
Uppercase Letter 3
 
1.1%
Dash Punctuation 1
 
0.4%
Lowercase Letter 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 34
13.6%
공 34
13.6%
소 34
13.6%
치 33
13.2%
과 33
13.2%
다 4
 
1.6%
덴 3
 
1.2%
스 2
 
0.8%
은 2
 
0.8%
인 2
 
0.8%
Other values (61) 69
27.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
95.8%
Common 7
 
2.7%
Latin 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 34
13.6%
공 34
13.6%
소 34
13.6%
치 33
13.2%
과 33
13.2%
다 4
 
1.6%
덴 3
 
1.2%
스 2
 
0.8%
은 2
 
0.8%
인 2
 
0.8%
Other values (61) 69
27.6%
Common
ValueCountFrequency (%)
4
57.1%
- 1
 
14.3%
) 1
 
14.3%
( 1
 
14.3%
Latin
ValueCountFrequency (%)
e 1
25.0%
M 1
25.0%
T 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
95.8%
ASCII 11
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 34
13.6%
공 34
13.6%
소 34
13.6%
치 33
13.2%
과 33
13.2%
다 4
 
1.6%
덴 3
 
1.2%
스 2
 
0.8%
은 2
 
0.8%
인 2
 
0.8%
Other values (61) 69
27.6%
ASCII
ValueCountFrequency (%)
4
36.4%
- 1
 
9.1%
e 1
 
9.1%
) 1
 
9.1%
M 1
 
9.1%
( 1
 
9.1%
T 1
 
9.1%
S 1
 
9.1%

소재지(도로명)
Text

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-23T14:50:27.263775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length27.352941
Min length22

Characters and Unicode

Total characters930
Distinct characters63
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)88.2%

Sample

1st row부산광역시 금정구 동부곡로 7, 2층 (부곡동)
2nd row부산광역시 금정구 금사로 84-1, 2층 (금사동)
3rd row부산광역시 금정구 서부로 17, 2층 (서동)
4th row부산광역시 금정구 금정로 133-13, 2층 (장전동)
5th row부산광역시 금정구 구서중앙로 17, 3층 일부호 (구서동)
ValueCountFrequency (%)
부산광역시 34
17.3%
금정구 34
17.3%
부곡동 10
 
5.1%
2층 9
 
4.6%
3층 9
 
4.6%
장전동 8
 
4.1%
구서동 6
 
3.1%
금정로 5
 
2.6%
부곡로 5
 
2.6%
금사로 4
 
2.0%
Other values (57) 72
36.7%
2024-03-23T14:50:27.806351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
17.4%
부 53
 
5.7%
금 52
 
5.6%
구 42
 
4.5%
동 40
 
4.3%
정 40
 
4.3%
산 37
 
4.0%
1 36
 
3.9%
시 35
 
3.8%
광 34
 
3.7%
Other values (53) 399
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
57.7%
Space Separator 162
 
17.4%
Decimal Number 131
 
14.1%
Close Punctuation 34
 
3.7%
Open Punctuation 34
 
3.7%
Other Punctuation 25
 
2.7%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 53
 
9.9%
금 52
 
9.7%
구 42
 
7.8%
동 40
 
7.4%
정 40
 
7.4%
산 37
 
6.9%
시 35
 
6.5%
광 34
 
6.3%
역 34
 
6.3%
로 34
 
6.3%
Other values (38) 136
25.3%
Decimal Number
ValueCountFrequency (%)
1 36
27.5%
3 21
16.0%
2 18
13.7%
4 11
 
8.4%
7 11
 
8.4%
9 9
 
6.9%
0 8
 
6.1%
6 7
 
5.3%
8 6
 
4.6%
5 4
 
3.1%
Space Separator
ValueCountFrequency (%)
162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
57.7%
Common 393
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 53
 
9.9%
금 52
 
9.7%
구 42
 
7.8%
동 40
 
7.4%
정 40
 
7.4%
산 37
 
6.9%
시 35
 
6.5%
광 34
 
6.3%
역 34
 
6.3%
로 34
 
6.3%
Other values (38) 136
25.3%
Common
ValueCountFrequency (%)
162
41.2%
1 36
 
9.2%
) 34
 
8.7%
( 34
 
8.7%
, 25
 
6.4%
3 21
 
5.3%
2 18
 
4.6%
4 11
 
2.8%
7 11
 
2.8%
9 9
 
2.3%
Other values (5) 32
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
57.7%
ASCII 393
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
41.2%
1 36
 
9.2%
) 34
 
8.7%
( 34
 
8.7%
, 25
 
6.4%
3 21
 
5.3%
2 18
 
4.6%
4 11
 
2.8%
7 11
 
2.8%
9 9
 
2.3%
Other values (5) 32
 
8.1%
Hangul
ValueCountFrequency (%)
부 53
 
9.9%
금 52
 
9.7%
구 42
 
7.8%
동 40
 
7.4%
정 40
 
7.4%
산 37
 
6.9%
시 35
 
6.5%
광 34
 
6.3%
역 34
 
6.3%
로 34
 
6.3%
Other values (38) 136
25.3%

전화번호
Text

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-23T14:50:28.070564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.941176
Min length7

Characters and Unicode

Total characters372
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)76.5%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row051-523-4322
4th row데이터 미집계
5th row데이터 미집계
ValueCountFrequency (%)
데이터 8
19.0%
미집계 8
19.0%
051-514-5019 1
 
2.4%
051-581-0074 1
 
2.4%
051-513-0321 1
 
2.4%
051-583-2362 1
 
2.4%
051-867-4787 1
 
2.4%
051-525-5488 1
 
2.4%
051-518-5741 1
 
2.4%
051-512-2852 1
 
2.4%
Other values (18) 18
42.9%
2024-03-23T14:50:28.559215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 58
15.6%
- 52
14.0%
1 48
12.9%
0 47
12.6%
8 29
7.8%
2 26
7.0%
7 18
 
4.8%
3 15
 
4.0%
4 14
 
3.8%
데 8
 
2.2%
Other values (8) 57
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 264
71.0%
Dash Punctuation 52
 
14.0%
Other Letter 48
 
12.9%
Space Separator 8
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 58
22.0%
1 48
18.2%
0 47
17.8%
8 29
11.0%
2 26
9.8%
7 18
 
6.8%
3 15
 
5.7%
4 14
 
5.3%
6 7
 
2.7%
9 2
 
0.8%
Other Letter
ValueCountFrequency (%)
데 8
16.7%
이 8
16.7%
계 8
16.7%
집 8
16.7%
미 8
16.7%
터 8
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
87.1%
Hangul 48
 
12.9%

Most frequent character per script

Common
ValueCountFrequency (%)
5 58
17.9%
- 52
16.0%
1 48
14.8%
0 47
14.5%
8 29
9.0%
2 26
8.0%
7 18
 
5.6%
3 15
 
4.6%
4 14
 
4.3%
8
 
2.5%
Other values (2) 9
 
2.8%
Hangul
ValueCountFrequency (%)
데 8
16.7%
이 8
16.7%
계 8
16.7%
집 8
16.7%
미 8
16.7%
터 8
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
87.1%
Hangul 48
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 58
17.9%
- 52
16.0%
1 48
14.8%
0 47
14.5%
8 29
9.0%
2 26
8.0%
7 18
 
5.6%
3 15
 
4.6%
4 14
 
4.3%
8
 
2.5%
Other values (2) 9
 
2.8%
Hangul
ValueCountFrequency (%)
데 8
16.7%
이 8
16.7%
계 8
16.7%
집 8
16.7%
미 8
16.7%
터 8
16.7%

Interactions

2024-03-23T14:50:25.189540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:50:28.702214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번치과기공소명소재지(도로명)전화번호
순번1.0001.0000.8560.723
치과기공소명1.0001.0001.0001.000
소재지(도로명)0.8561.0001.0000.978
전화번호0.7231.0000.9781.000

Missing values

2024-03-23T14:50:25.347198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:50:25.461514image/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

순번치과기공소명소재지(도로명)전화번호
01조은치과기공소부산광역시 금정구 동부곡로 7, 2층 (부곡동)데이터 미집계
12다원치과기공소부산광역시 금정구 금사로 84-1, 2층 (금사동)데이터 미집계
23무창치과기공소부산광역시 금정구 서부로 17, 2층 (서동)051-523-4322
34티에스엠(TSM)치과기공소부산광역시 금정구 금정로 133-13, 2층 (장전동)데이터 미집계
45예리미치과기공소부산광역시 금정구 구서중앙로 17, 3층 일부호 (구서동)데이터 미집계
56아남치과기공소부산광역시 금정구 부곡로42번길 85, 2층 (부곡동)051-513-2825
67다윗치과기공소부산광역시 금정구 금정로 61-1, 3층 (장전동)데이터 미집계
78다복치과기공소부산광역시 금정구 부곡로 43, 3층 (부곡동)051-583-3348
89더쎈치과기공소부산광역시 금정구 금강로578번길 32 (구서동)051-518-2845
910맑음치과기공소부산광역시 금정구 구서중앙로 17, 3층 (구서동)데이터 미집계
순번치과기공소명소재지(도로명)전화번호
2425e-드림치과기공소부산광역시 금정구 부곡로 119, 3층 (부곡동)데이터 미집계
2526그린치과기공소부산광역시 금정구 서동로 57-1 (부곡동)051-512-2852
2627덴텍치과기공소부산광역시 금정구 식물원로29번길 16, 2층 (장전동)051-518-5741
2728금사치과기공소부산광역시 금정구 금사로 84-1, 2층 (금사동)051-525-5488
2829신한치과기공소부산광역시 금정구 부곡로 38 (부곡동)051-867-4787
2930한국덴타륨치과기공소부산광역시 금정구 부곡로 77 (부곡동)051-583-2362
3031화인치과기공소부산광역시 금정구 중앙대로1959번길 36 (구서동)051-513-0321
3132수석치과기공소부산광역시 금정구 금정로 136, 201호 (장전동, 선경에이스하임)051-581-0074
3233청솔치과기공소부산광역시 금정구 금정로161번길 9 (장전동)051-514-5019
3334대명치과기공소부산광역시 금정구 부곡로 116, 3층 (부곡동)051-582-3324