Overview

Dataset statistics

Number of variables3
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory27.2 B

Variable types

Numeric1
Text2

Dataset

Description서울특별시 송파구 내 치과기공소 현황에 대한 데이터로, 치과기공소의 이름과 소재지(도로명)주소를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15114774/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 12:22:53.689175
Analysis finished2023-12-12 12:22:54.262626
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T21:22:54.350770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-12T21:22:54.582447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

치과기공소명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T21:22:54.909485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length15
Mean length8.9166667
Min length5

Characters and Unicode

Total characters535
Distinct characters134
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

Unique60 ?
Unique (%)100.0%

Sample

1st row디지털아이콘덴탈랩(Digital iCon Dental LaB)
2nd row달(DAL)치과기공소
3rd rowEDL치과기공소
4th row케이덴탈랩
5th row유얼라인 투명교정 치과기공소
ValueCountFrequency (%)
치과기공소 10
 
13.3%
디지털아이콘덴탈랩(digital 1
 
1.3%
지오치과기공소 1
 
1.3%
석촌tc치과기공소 1
 
1.3%
윤원상치과기공소 1
 
1.3%
하이텍치과기공소 1
 
1.3%
리더스치과기공소 1
 
1.3%
미다듬 1
 
1.3%
미소치과기공소 1
 
1.3%
골드캐슬치과기공소 1
 
1.3%
Other values (56) 56
74.7%
2023-12-12T21:22:55.416558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 59
 
11.0%
소 58
 
10.8%
공 57
 
10.7%
기 57
 
10.7%
과 57
 
10.7%
15
 
2.8%
이 12
 
2.2%
스 8
 
1.5%
리 7
 
1.3%
아 6
 
1.1%
Other values (124) 199
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
86.9%
Uppercase Letter 24
 
4.5%
Lowercase Letter 19
 
3.6%
Space Separator 15
 
2.8%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%
Other Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 59
12.7%
소 58
12.5%
공 57
12.3%
기 57
12.3%
과 57
12.3%
이 12
 
2.6%
스 8
 
1.7%
리 7
 
1.5%
아 6
 
1.3%
트 5
 
1.1%
Other values (96) 139
29.9%
Uppercase Letter
ValueCountFrequency (%)
L 4
16.7%
D 4
16.7%
T 4
16.7%
O 2
8.3%
B 2
8.3%
C 2
8.3%
K 1
 
4.2%
J 1
 
4.2%
H 1
 
4.2%
A 1
 
4.2%
Other values (2) 2
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
15.8%
t 3
15.8%
i 3
15.8%
n 2
10.5%
l 2
10.5%
e 1
 
5.3%
o 1
 
5.3%
g 1
 
5.3%
s 1
 
5.3%
u 1
 
5.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
86.9%
Latin 43
 
8.0%
Common 27
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 59
12.7%
소 58
12.5%
공 57
12.3%
기 57
12.3%
과 57
12.3%
이 12
 
2.6%
스 8
 
1.7%
리 7
 
1.5%
아 6
 
1.3%
트 5
 
1.1%
Other values (96) 139
29.9%
Latin
ValueCountFrequency (%)
L 4
 
9.3%
D 4
 
9.3%
T 4
 
9.3%
a 3
 
7.0%
t 3
 
7.0%
i 3
 
7.0%
O 2
 
4.7%
B 2
 
4.7%
n 2
 
4.7%
C 2
 
4.7%
Other values (13) 14
32.6%
Common
ValueCountFrequency (%)
15
55.6%
( 5
 
18.5%
) 5
 
18.5%
. 1
 
3.7%
- 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
86.9%
ASCII 70
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 59
12.7%
소 58
12.5%
공 57
12.3%
기 57
12.3%
과 57
12.3%
이 12
 
2.6%
스 8
 
1.7%
리 7
 
1.5%
아 6
 
1.3%
트 5
 
1.1%
Other values (96) 139
29.9%
ASCII
ValueCountFrequency (%)
15
21.4%
( 5
 
7.1%
) 5
 
7.1%
L 4
 
5.7%
D 4
 
5.7%
T 4
 
5.7%
a 3
 
4.3%
t 3
 
4.3%
i 3
 
4.3%
O 2
 
2.9%
Other values (18) 22
31.4%

소재지(도로명)
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T21:22:55.802612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40.5
Mean length33.666667
Min length22

Characters and Unicode

Total characters2020
Distinct characters117
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

Unique60 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 백제고분로28길 33, 202호 일부호 (삼전동)
2nd row서울특별시 송파구 동남로 102, 레이102 5층 (문정동)
3rd row서울특별시 송파구 풍성로 69, 1층층 (풍납동)
4th row서울특별시 송파구 송이로 97, 화영빌딩 2층 (가락동)
5th row서울특별시 송파구 법원로4길 5, 송파법조타운푸르지오 318호 (문정동)
ValueCountFrequency (%)
서울특별시 60
 
15.0%
송파구 60
 
15.0%
2층 19
 
4.8%
가락동 12
 
3.0%
송파동 10
 
2.5%
3층 10
 
2.5%
방이동 7
 
1.8%
4층 7
 
1.8%
문정동 6
 
1.5%
잠실동 6
 
1.5%
Other values (146) 203
50.7%
2023-12-12T21:22:56.708557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
 
16.8%
2 84
 
4.2%
송 79
 
3.9%
파 76
 
3.8%
동 70
 
3.5%
, 67
 
3.3%
로 62
 
3.1%
서 61
 
3.0%
시 61
 
3.0%
구 60
 
3.0%
Other values (107) 1060
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1133
56.1%
Decimal Number 342
 
16.9%
Space Separator 340
 
16.8%
Other Punctuation 67
 
3.3%
Open Punctuation 60
 
3.0%
Close Punctuation 60
 
3.0%
Dash Punctuation 14
 
0.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 79
 
7.0%
파 76
 
6.7%
동 70
 
6.2%
로 62
 
5.5%
서 61
 
5.4%
시 61
 
5.4%
구 60
 
5.3%
특 60
 
5.3%
울 60
 
5.3%
별 60
 
5.3%
Other values (90) 484
42.7%
Decimal Number
ValueCountFrequency (%)
2 84
24.6%
1 60
17.5%
3 41
12.0%
0 37
10.8%
4 36
10.5%
5 21
 
6.1%
6 20
 
5.8%
8 17
 
5.0%
9 16
 
4.7%
7 10
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
C 1
 
25.0%
Space Separator
ValueCountFrequency (%)
340
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1133
56.1%
Common 883
43.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 79
 
7.0%
파 76
 
6.7%
동 70
 
6.2%
로 62
 
5.5%
서 61
 
5.4%
시 61
 
5.4%
구 60
 
5.3%
특 60
 
5.3%
울 60
 
5.3%
별 60
 
5.3%
Other values (90) 484
42.7%
Common
ValueCountFrequency (%)
340
38.5%
2 84
 
9.5%
, 67
 
7.6%
( 60
 
6.8%
1 60
 
6.8%
) 60
 
6.8%
3 41
 
4.6%
0 37
 
4.2%
4 36
 
4.1%
5 21
 
2.4%
Other values (5) 77
 
8.7%
Latin
ValueCountFrequency (%)
B 3
75.0%
C 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1133
56.1%
ASCII 887
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
38.3%
2 84
 
9.5%
, 67
 
7.6%
( 60
 
6.8%
1 60
 
6.8%
) 60
 
6.8%
3 41
 
4.6%
0 37
 
4.2%
4 36
 
4.1%
5 21
 
2.4%
Other values (7) 81
 
9.1%
Hangul
ValueCountFrequency (%)
송 79
 
7.0%
파 76
 
6.7%
동 70
 
6.2%
로 62
 
5.5%
서 61
 
5.4%
시 61
 
5.4%
구 60
 
5.3%
특 60
 
5.3%
울 60
 
5.3%
별 60
 
5.3%
Other values (90) 484
42.7%

Interactions

2023-12-12T21:22:53.967572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:22:56.807991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번치과기공소명소재지(도로명)
순번1.0001.0001.000
치과기공소명1.0001.0001.000
소재지(도로명)1.0001.0001.000

Missing values

2023-12-12T21:22:54.118745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:22:54.215023image/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)
01디지털아이콘덴탈랩(Digital iCon Dental LaB)서울특별시 송파구 백제고분로28길 33, 202호 일부호 (삼전동)
12달(DAL)치과기공소서울특별시 송파구 동남로 102, 레이102 5층 (문정동)
23EDL치과기공소서울특별시 송파구 풍성로 69, 1층층 (풍납동)
34케이덴탈랩서울특별시 송파구 송이로 97, 화영빌딩 2층 (가락동)
45유얼라인 투명교정 치과기공소서울특별시 송파구 법원로4길 5, 송파법조타운푸르지오 318호 (문정동)
56디지털코리아치과기공소서울특별시 송파구 송이로 102-1, 3층 (가락동)
67목 치과기공소서울특별시 송파구 송이로17길 54-27, 302호 (가락동)
78에스-텍 치과기공소서울특별시 송파구 동남로 113, 401호 (가락동)
89에이플러스치과기공소서울특별시 송파구 올림픽로32길 22-22, 4층 (방이동)
910새로운치과기공소서울특별시 송파구 삼학사로8길 5, 지층 B03호 (석촌동)
순번치과기공소명소재지(도로명)
5051청산치과기공소서울특별시 송파구 백제고분로9길 26, 3층 (잠실동, 매은빌딩)
5152으뜸치과기공소서울특별시 송파구 올림픽로32길 22-5 (방이동)
5253수치과기공소서울특별시 송파구 동남로3길 17-14, 201호 (가락동)
5354티타늄 코리아 치과기공소서울특별시 송파구 송파대로 406, 4층 (송파동)
5455크리아트치과기공소서울특별시 송파구 동남로24길 15 (오금동, 이조빌딩 2층 202호)
5556열린치과기공소서울특별시 송파구 오금로34길 10 (가락동)
5657미치과기공소서울특별시 송파구 백제고분로46길 8, 4층 401호 (송파동, 서암빌딩)
5758엘리트치과기공소서울특별시 송파구 풍성로 69 (풍납동)
5859쌍용치과기공소서울특별시 송파구 석촌호수로18길 24, 3층 (석촌동)
5960덴텍매니아치과기공소서울특별시 송파구 마천로26길 6, 3층 (오금동)