Overview

Dataset statistics

Number of variables7
Number of observations59
Missing cells10
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory59.2 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description서울특별시 동대문구 내에 위치한 치과기공소 현황에 대한 자료입니다. 치과기공소명, 소재지, 전화번호 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15114969/fileData.do

Alerts

관리부서명 has constant value ""Constant
관리부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 10 (16.9%) missing valuesMissing
연번 has unique valuesUnique
치과기공소명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:57:10.635853
Analysis finished2023-12-12 19:57:11.135868
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T04:57:11.204120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q115.5
median30
Q344.5
95-th percentile56.1
Maximum59
Range58
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.175564
Coefficient of variation (CV)0.5725188
Kurtosis-1.2
Mean30
Median Absolute Deviation (MAD)15
Skewness0
Sum1770
Variance295
MonotonicityStrictly increasing
2023-12-13T04:57:11.328689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
2 1
 
1.7%
33 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%
Other values (49) 49
83.1%
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 (%)
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%
50 1
1.7%

치과기공소명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-13T04:57:11.524713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length8.7457627
Min length4

Characters and Unicode

Total characters516
Distinct characters135
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row참치과기공소
2nd row다올치과기공소
3rd row주치과기공소
4th row채움교정치과기공소
5th row다온치과기공소
ValueCountFrequency (%)
치과기공소 3
 
4.4%
다이안치과기공소 1
 
1.5%
병우치과기공소 1
 
1.5%
늘솜치과기공소 1
 
1.5%
예일치과기공소 1
 
1.5%
덴탈랩 1
 
1.5%
lava 1
 
1.5%
3m 1
 
1.5%
참치과기공소 1
 
1.5%
에이치엠치과기공소 1
 
1.5%
Other values (56) 56
82.4%
2023-12-13T04:57:11.858899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 53
 
10.3%
기 53
 
10.3%
공 53
 
10.3%
소 53
 
10.3%
과 51
 
9.9%
이 11
 
2.1%
9
 
1.7%
( 7
 
1.4%
) 7
 
1.4%
덴 5
 
1.0%
Other values (125) 214
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
85.7%
Lowercase Letter 27
 
5.2%
Uppercase Letter 19
 
3.7%
Space Separator 9
 
1.7%
Open Punctuation 7
 
1.4%
Close Punctuation 7
 
1.4%
Other Punctuation 3
 
0.6%
Decimal Number 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 53
 
12.0%
기 53
 
12.0%
공 53
 
12.0%
소 53
 
12.0%
과 51
 
11.5%
이 11
 
2.5%
덴 5
 
1.1%
랩 5
 
1.1%
탈 5
 
1.1%
에 5
 
1.1%
Other values (95) 148
33.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
18.5%
l 4
14.8%
a 4
14.8%
t 3
11.1%
n 2
 
7.4%
b 2
 
7.4%
r 1
 
3.7%
o 1
 
3.7%
i 1
 
3.7%
u 1
 
3.7%
Other values (3) 3
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
21.1%
M 3
15.8%
A 3
15.8%
C 2
10.5%
L 2
10.5%
V 1
 
5.3%
P 1
 
5.3%
U 1
 
5.3%
O 1
 
5.3%
S 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
85.7%
Latin 46
 
8.9%
Common 28
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 53
 
12.0%
기 53
 
12.0%
공 53
 
12.0%
소 53
 
12.0%
과 51
 
11.5%
이 11
 
2.5%
덴 5
 
1.1%
랩 5
 
1.1%
탈 5
 
1.1%
에 5
 
1.1%
Other values (95) 148
33.5%
Latin
ValueCountFrequency (%)
e 5
 
10.9%
l 4
 
8.7%
a 4
 
8.7%
B 4
 
8.7%
M 3
 
6.5%
t 3
 
6.5%
A 3
 
6.5%
n 2
 
4.3%
C 2
 
4.3%
L 2
 
4.3%
Other values (13) 14
30.4%
Common
ValueCountFrequency (%)
9
32.1%
( 7
25.0%
) 7
25.0%
. 2
 
7.1%
3 1
 
3.6%
- 1
 
3.6%
& 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
85.7%
ASCII 74
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 53
 
12.0%
기 53
 
12.0%
공 53
 
12.0%
소 53
 
12.0%
과 51
 
11.5%
이 11
 
2.5%
덴 5
 
1.1%
랩 5
 
1.1%
탈 5
 
1.1%
에 5
 
1.1%
Other values (95) 148
33.5%
ASCII
ValueCountFrequency (%)
9
 
12.2%
( 7
 
9.5%
) 7
 
9.5%
e 5
 
6.8%
l 4
 
5.4%
a 4
 
5.4%
B 4
 
5.4%
M 3
 
4.1%
t 3
 
4.1%
A 3
 
4.1%
Other values (20) 25
33.8%

소재지
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-13T04:57:12.152272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length30.288136
Min length23

Characters and Unicode

Total characters1787
Distinct characters88
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

Unique59 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 천호대로83길 9(장안동)
2nd row서울특별시 동대문구 답십리로63길 10, 2층 (장안동)
3rd row서울특별시 동대문구 고산자로 481-1, 3층 (제기동)
4th row서울특별시 동대문구 신이문로 34, 3층 (이문동)
5th row서울특별시 동대문구 하정로3길 6 (신설동)
ValueCountFrequency (%)
서울특별시 59
 
16.6%
동대문구 59
 
16.6%
3층 15
 
4.2%
장안동 15
 
4.2%
4층 15
 
4.2%
신설동 12
 
3.4%
2층 10
 
2.8%
제기동 7
 
2.0%
답십리동 7
 
2.0%
5층 5
 
1.4%
Other values (107) 152
42.7%
2023-12-13T04:57:12.574584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
16.6%
동 120
 
6.7%
대 73
 
4.1%
문 63
 
3.5%
서 61
 
3.4%
시 61
 
3.4%
로 59
 
3.3%
울 59
 
3.3%
) 59
 
3.3%
( 59
 
3.3%
Other values (78) 876
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1048
58.6%
Space Separator 297
 
16.6%
Decimal Number 261
 
14.6%
Close Punctuation 59
 
3.3%
Open Punctuation 59
 
3.3%
Other Punctuation 53
 
3.0%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
 
11.5%
대 73
 
7.0%
문 63
 
6.0%
서 61
 
5.8%
시 61
 
5.8%
로 59
 
5.6%
울 59
 
5.6%
구 59
 
5.6%
특 59
 
5.6%
별 59
 
5.6%
Other values (63) 375
35.8%
Decimal Number
ValueCountFrequency (%)
1 45
17.2%
3 42
16.1%
2 36
13.8%
4 36
13.8%
5 22
8.4%
0 18
 
6.9%
8 18
 
6.9%
6 16
 
6.1%
9 15
 
5.7%
7 13
 
5.0%
Space Separator
ValueCountFrequency (%)
297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1048
58.6%
Common 739
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
 
11.5%
대 73
 
7.0%
문 63
 
6.0%
서 61
 
5.8%
시 61
 
5.8%
로 59
 
5.6%
울 59
 
5.6%
구 59
 
5.6%
특 59
 
5.6%
별 59
 
5.6%
Other values (63) 375
35.8%
Common
ValueCountFrequency (%)
297
40.2%
) 59
 
8.0%
( 59
 
8.0%
, 53
 
7.2%
1 45
 
6.1%
3 42
 
5.7%
2 36
 
4.9%
4 36
 
4.9%
5 22
 
3.0%
0 18
 
2.4%
Other values (5) 72
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1048
58.6%
ASCII 739
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
40.2%
) 59
 
8.0%
( 59
 
8.0%
, 53
 
7.2%
1 45
 
6.1%
3 42
 
5.7%
2 36
 
4.9%
4 36
 
4.9%
5 22
 
3.0%
0 18
 
2.4%
Other values (5) 72
 
9.7%
Hangul
ValueCountFrequency (%)
동 120
 
11.5%
대 73
 
7.0%
문 63
 
6.0%
서 61
 
5.8%
시 61
 
5.8%
로 59
 
5.6%
울 59
 
5.6%
구 59
 
5.6%
특 59
 
5.6%
별 59
 
5.6%
Other values (63) 375
35.8%

전화번호
Text

MISSING 

Distinct49
Distinct (%)100.0%
Missing10
Missing (%)16.9%
Memory size604.0 B
2023-12-13T04:57:12.872207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.510204
Min length11

Characters and Unicode

Total characters564
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

Unique49 ?
Unique (%)100.0%

Sample

1st row02-471-0847
2nd row02-464-2804
3rd row02-927-2877
4th row02-477-2857
5th row02-2244-2820
ValueCountFrequency (%)
02-443-2804 1
 
2.0%
02-763-8559 1
 
2.0%
02-3394-8928 1
 
2.0%
02-6403-7977 1
 
2.0%
02-2214-2332 1
 
2.0%
02-2213-3737 1
 
2.0%
02-2252-2852 1
 
2.0%
02-2212-4372 1
 
2.0%
02-969-2332 1
 
2.0%
02-2213-3736 1
 
2.0%
Other values (39) 39
79.6%
2023-12-13T04:57:13.261129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 138
24.5%
- 98
17.4%
0 79
14.0%
4 43
 
7.6%
8 38
 
6.7%
3 36
 
6.4%
7 33
 
5.9%
9 30
 
5.3%
6 25
 
4.4%
1 25
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 466
82.6%
Dash Punctuation 98
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 138
29.6%
0 79
17.0%
4 43
 
9.2%
8 38
 
8.2%
3 36
 
7.7%
7 33
 
7.1%
9 30
 
6.4%
6 25
 
5.4%
1 25
 
5.4%
5 19
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 138
24.5%
- 98
17.4%
0 79
14.0%
4 43
 
7.6%
8 38
 
6.7%
3 36
 
6.4%
7 33
 
5.9%
9 30
 
5.3%
6 25
 
4.4%
1 25
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 138
24.5%
- 98
17.4%
0 79
14.0%
4 43
 
7.6%
8 38
 
6.7%
3 36
 
6.4%
7 33
 
5.9%
9 30
 
5.3%
6 25
 
4.4%
1 25
 
4.4%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
서울특별시 동대문구청
59 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 동대문구청
2nd row서울특별시 동대문구청
3rd row서울특별시 동대문구청
4th row서울특별시 동대문구청
5th row서울특별시 동대문구청

Common Values

ValueCountFrequency (%)
서울특별시 동대문구청 59
100.0%

Length

2023-12-13T04:57:13.404247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:57:13.492674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 59
50.0%
동대문구청 59
50.0%

관리부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
02-2127-5413
59 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2127-5413
2nd row02-2127-5413
3rd row02-2127-5413
4th row02-2127-5413
5th row02-2127-5413

Common Values

ValueCountFrequency (%)
02-2127-5413 59
100.0%

Length

2023-12-13T04:57:13.585798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:57:13.688891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2127-5413 59
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-06-22
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-22
2nd row2023-06-22
3rd row2023-06-22
4th row2023-06-22
5th row2023-06-22

Common Values

ValueCountFrequency (%)
2023-06-22 59
100.0%

Length

2023-12-13T04:57:13.826164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:57:13.936188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-22 59
100.0%

Interactions

2023-12-13T04:57:10.883446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:57:13.996998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번치과기공소명소재지전화번호
연번1.0001.0001.0001.000
치과기공소명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T04:57:10.995728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:57:11.096562image/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

연번치과기공소명소재지전화번호관리부서명관리부서전화번호데이터기준일자
01참치과기공소서울특별시 동대문구 천호대로83길 9(장안동)<NA>서울특별시 동대문구청02-2127-54132023-06-22
12다올치과기공소서울특별시 동대문구 답십리로63길 10, 2층 (장안동)<NA>서울특별시 동대문구청02-2127-54132023-06-22
23주치과기공소서울특별시 동대문구 고산자로 481-1, 3층 (제기동)<NA>서울특별시 동대문구청02-2127-54132023-06-22
34채움교정치과기공소서울특별시 동대문구 신이문로 34, 3층 (이문동)02-471-0847서울특별시 동대문구청02-2127-54132023-06-22
45다온치과기공소서울특별시 동대문구 하정로3길 6 (신설동)<NA>서울특별시 동대문구청02-2127-54132023-06-22
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78에이랩(A-Lab) 치과기공소서울특별시 동대문구 천호대로83길 9, 4층 402호 (장안동)<NA>서울특별시 동대문구청02-2127-54132023-06-22
89페이스치과기공소서울특별시 동대문구 망우로 78, 2층 (휘경동)02-464-2804서울특별시 동대문구청02-2127-54132023-06-22
910히든치과기공소서울특별시 동대문구 하정로5길 1, 4층 (신설동)02-927-2877서울특별시 동대문구청02-2127-54132023-06-22
연번치과기공소명소재지전화번호관리부서명관리부서전화번호데이터기준일자
4950둘치과기공소서울특별시 동대문구 왕산로2길 27, 5층 (신설동)02-922-1804서울특별시 동대문구청02-2127-54132023-06-22
5051나랏치과기공소서울특별시 동대문구 전농로 39, 3층 (답십리동)02-2245-8810서울특별시 동대문구청02-2127-54132023-06-22
5152알파치과기공소서울특별시 동대문구 왕산로43길 50, 2층 (청량리동)02-2294-2804서울특별시 동대문구청02-2127-54132023-06-22
5253성신치과기공소서울특별시 동대문구 한빛로 26 (신설동)02-922-0133서울특별시 동대문구청02-2127-54132023-06-22
5354덕치과기공소서울특별시 동대문구 회기로23가길 11 (회기동)02-963-5809서울특별시 동대문구청02-2127-54132023-06-22
5455영종치과기공소서울특별시 동대문구 고산자로34길 48-3 (용두동)02-966-3990서울특별시 동대문구청02-2127-54132023-06-22
5556흥진치과기공소서울특별시 동대문구 하정로 44, 2층 201호 (신설동)02-922-5239서울특별시 동대문구청02-2127-54132023-06-22
5657재민치과기공소서울특별시 동대문구 약령중앙로8길 15, 4층 (제기동)02-962-0772서울특별시 동대문구청02-2127-54132023-06-22
5758현암치과기공소서울특별시 동대문구 난계로26길 5-14, 3층 (신설동)02-924-0852서울특별시 동대문구청02-2127-54132023-06-22
5859동산치과기공소서울특별시 동대문구 왕산로 74-1, 3층 (용두동)02-926-6120서울특별시 동대문구청02-2127-54132023-06-22