Overview

Dataset statistics

Number of variables3
Number of observations28
Missing cells9
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory804.0 B
Average record size in memory28.7 B

Variable types

Text3

Dataset

Description군산시에 소재한 관내 치과기공소에 대한 데이터로 치과기공소명, 소재지(도로명), 전화번호 등에 대한 현황을 제공합니다.
URLhttps://www.data.go.kr/data/3080243/fileData.do

Alerts

전화번호 has 9 (32.1%) missing valuesMissing
치과기공소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:20:11.613808
Analysis finished2023-12-12 09:20:12.007306
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

치과기공소명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T18:20:12.217680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.3571429
Min length6

Characters and Unicode

Total characters206
Distinct characters61
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row지에스치과기공소
2nd row스카이치과기공소
3rd row서울 덴탈 랩
4th row원디지털치과기공소
5th row이치과기공소
ValueCountFrequency (%)
지에스치과기공소 1
 
3.3%
스카이치과기공소 1
 
3.3%
원진치과기공소 1
 
3.3%
요한치과기공소 1
 
3.3%
덴티피아치과기공소 1
 
3.3%
군산치과기공소 1
 
3.3%
금강치과기공소 1
 
3.3%
복음치과기공소 1
 
3.3%
참다운치과기공소 1
 
3.3%
티엠제이치과기공소 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T18:20:12.717806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 27
13.1%
치 26
12.6%
기 26
12.6%
공 26
12.6%
과 25
12.1%
아 4
 
1.9%
이 3
 
1.5%
덴 3
 
1.5%
지 2
 
1.0%
군 2
 
1.0%
Other values (51) 62
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 27
13.2%
치 26
12.7%
기 26
12.7%
공 26
12.7%
과 25
12.3%
아 4
 
2.0%
이 3
 
1.5%
덴 3
 
1.5%
지 2
 
1.0%
군 2
 
1.0%
Other values (50) 60
29.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 27
13.2%
치 26
12.7%
기 26
12.7%
공 26
12.7%
과 25
12.3%
아 4
 
2.0%
이 3
 
1.5%
덴 3
 
1.5%
지 2
 
1.0%
군 2
 
1.0%
Other values (50) 60
29.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 27
13.2%
치 26
12.7%
기 26
12.7%
공 26
12.7%
과 25
12.3%
아 4
 
2.0%
이 3
 
1.5%
덴 3
 
1.5%
지 2
 
1.0%
군 2
 
1.0%
Other values (50) 60
29.4%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T18:20:13.015223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length26.714286
Min length21

Characters and Unicode

Total characters748
Distinct characters85
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

Unique28 ?
Unique (%)100.0%

Sample

1st row전라북도 군산시 팔마로 145-2, 1층 (동흥남동)
2nd row전라북도 군산시 조촌4길 32, 402호 (조촌동)
3rd row전라북도 군산시 하나운안2길 10, 엘지25시편의점 2층 (나운동)
4th row전라북도 군산시 풍문3길 37, 1층 101호 (미원동)
5th row전라북도 군산시 번영로 99, 서해엔진보링사 2층 (경장동)
ValueCountFrequency (%)
전라북도 28
 
17.2%
군산시 28
 
17.2%
나운동 6
 
3.7%
2층 5
 
3.1%
조촌동 3
 
1.8%
월명로 3
 
1.8%
경암동 3
 
1.8%
팔마로 3
 
1.8%
중앙로 2
 
1.2%
48 2
 
1.2%
Other values (67) 80
49.1%
2023-12-12T18:20:13.558382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
18.0%
산 30
 
4.0%
동 30
 
4.0%
군 29
 
3.9%
시 29
 
3.9%
라 29
 
3.9%
전 28
 
3.7%
북 28
 
3.7%
도 28
 
3.7%
) 28
 
3.7%
Other values (75) 354
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 421
56.3%
Space Separator 135
 
18.0%
Decimal Number 111
 
14.8%
Close Punctuation 28
 
3.7%
Open Punctuation 28
 
3.7%
Other Punctuation 18
 
2.4%
Dash Punctuation 5
 
0.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 30
 
7.1%
동 30
 
7.1%
군 29
 
6.9%
시 29
 
6.9%
라 29
 
6.9%
전 28
 
6.7%
북 28
 
6.7%
도 28
 
6.7%
로 20
 
4.8%
길 11
 
2.6%
Other values (58) 159
37.8%
Decimal Number
ValueCountFrequency (%)
1 25
22.5%
2 23
20.7%
3 14
12.6%
4 12
10.8%
0 11
9.9%
5 7
 
6.3%
9 6
 
5.4%
7 5
 
4.5%
8 4
 
3.6%
6 4
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
56.3%
Common 325
43.4%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 30
 
7.1%
동 30
 
7.1%
군 29
 
6.9%
시 29
 
6.9%
라 29
 
6.9%
전 28
 
6.7%
북 28
 
6.7%
도 28
 
6.7%
로 20
 
4.8%
길 11
 
2.6%
Other values (58) 159
37.8%
Common
ValueCountFrequency (%)
135
41.5%
) 28
 
8.6%
( 28
 
8.6%
1 25
 
7.7%
2 23
 
7.1%
, 17
 
5.2%
3 14
 
4.3%
4 12
 
3.7%
0 11
 
3.4%
5 7
 
2.2%
Other values (6) 25
 
7.7%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 421
56.3%
ASCII 327
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
41.3%
) 28
 
8.6%
( 28
 
8.6%
1 25
 
7.6%
2 23
 
7.0%
, 17
 
5.2%
3 14
 
4.3%
4 12
 
3.7%
0 11
 
3.4%
5 7
 
2.1%
Other values (7) 27
 
8.3%
Hangul
ValueCountFrequency (%)
산 30
 
7.1%
동 30
 
7.1%
군 29
 
6.9%
시 29
 
6.9%
라 29
 
6.9%
전 28
 
6.7%
북 28
 
6.7%
도 28
 
6.7%
로 20
 
4.8%
길 11
 
2.6%
Other values (58) 159
37.8%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing9
Missing (%)32.1%
Memory size356.0 B
2023-12-12T18:20:13.843431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters228
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

Unique19 ?
Unique (%)100.0%

Sample

1st row063-465-2804
2nd row063-465-2809
3rd row063-465-2879
4th row063-466-7228
5th row063-446-2872
ValueCountFrequency (%)
063-465-2804 1
 
5.3%
063-463-0184 1
 
5.3%
063-442-0759 1
 
5.3%
063-446-6249 1
 
5.3%
063-446-4534 1
 
5.3%
063-468-9578 1
 
5.3%
063-442-7999 1
 
5.3%
063-467-5111 1
 
5.3%
063-461-3874 1
 
5.3%
063-445-2804 1
 
5.3%
Other values (9) 9
47.4%
2023-12-12T18:20:14.281795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
16.7%
6 36
15.8%
4 34
14.9%
0 28
12.3%
3 23
10.1%
2 19
8.3%
8 12
 
5.3%
7 12
 
5.3%
5 11
 
4.8%
9 9
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
83.3%
Dash Punctuation 38
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 36
18.9%
4 34
17.9%
0 28
14.7%
3 23
12.1%
2 19
10.0%
8 12
 
6.3%
7 12
 
6.3%
5 11
 
5.8%
9 9
 
4.7%
1 6
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
16.7%
6 36
15.8%
4 34
14.9%
0 28
12.3%
3 23
10.1%
2 19
8.3%
8 12
 
5.3%
7 12
 
5.3%
5 11
 
4.8%
9 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
16.7%
6 36
15.8%
4 34
14.9%
0 28
12.3%
3 23
10.1%
2 19
8.3%
8 12
 
5.3%
7 12
 
5.3%
5 11
 
4.8%
9 9
 
3.9%

Correlations

2023-12-12T18:20:14.433615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
치과기공소명소재지(도로명)전화번호
치과기공소명1.0001.0001.000
소재지(도로명)1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T18:20:11.861269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:20:11.960121image/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

치과기공소명소재지(도로명)전화번호
0지에스치과기공소전라북도 군산시 팔마로 145-2, 1층 (동흥남동)<NA>
1스카이치과기공소전라북도 군산시 조촌4길 32, 402호 (조촌동)<NA>
2서울 덴탈 랩전라북도 군산시 하나운안2길 10, 엘지25시편의점 2층 (나운동)063-465-2804
3원디지털치과기공소전라북도 군산시 풍문3길 37, 1층 101호 (미원동)<NA>
4이치과기공소전라북도 군산시 번영로 99, 서해엔진보링사 2층 (경장동)<NA>
5술술치과기공소전라북도 군산시 장재길 18-1, 3층 (장재동)<NA>
6군산캐드피아기공소전라북도 군산시 월명로 244, 군산수송프라자 402호 (수송동)063-465-2809
7미소준치과기공소전라북도 군산시 팔마로 97, 2층 (서흥남동)063-465-2879
8유니덴탈아트전라북도 군산시 지곡동신길 6, 2층 201호 (수송동)<NA>
9가온치과기공소전라북도 군산시 조촌안1길 19, 501호 (조촌동, 종로빌딩)<NA>
치과기공소명소재지(도로명)전화번호
18경포치과기공소전라북도 군산시 백릉로 35 (경암동)063-445-2804
19티엠제이치과기공소전라북도 군산시 하나운로 37 (나운동)063-463-0184
20참다운치과기공소전라북도 군산시 하나운2길 4, 3층 (나운동)063-461-3874
21복음치과기공소전라북도 군산시 월명로 415 (미원동)063-467-5111
22금강치과기공소전라북도 군산시 구암3.1로 6, 2,3층 (장재동)063-442-7999
23군산치과기공소전라북도 군산시 신설2길 10 (나운동)063-468-9578
24덴티피아치과기공소전라북도 군산시 경암로 48, C동 3호 (경암동)063-446-4534
25요한치과기공소전라북도 군산시 경암로 48, C동 5호 (경암동)063-446-6249
26원진치과기공소전라북도 군산시 중앙로 148 (중앙로1가)063-442-0759
27신흥치과기공소전라북도 군산시 중앙로 110-11 (중앙로2가)063-445-8726