Overview

Dataset statistics

Number of variables4
Number of observations59
Missing cells9
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory34.2 B

Variable types

Text3
DateTime1

Dataset

Description서울특별시 송파구_치과기공소에 대한 데이터로 기공소명, 도로명주소, 전화번호, 데이터기준일자 등에 항목으로 제공합니다.
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15091021/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 9 (15.3%) missing valuesMissing
기공소명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:22:44.485381
Analysis finished2023-12-12 21:22:44.871696
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기공소명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-13T06:22:45.056232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.8813559
Min length6

Characters and Unicode

Total characters524
Distinct characters130
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

Unique59 ?
Unique (%)100.0%

Sample

1st row유얼라인 투명교정 치과기공소
2nd row디지털코리아치과기공소
3rd row목 치과기공소
4th row에스-텍 치과기공소
5th row에이플러스치과기공소
ValueCountFrequency (%)
치과기공소 12
 
16.0%
티타늄 2
 
2.7%
코리아 2
 
2.7%
쌍용치과기공소 1
 
1.3%
엘리트치과기공소 1
 
1.3%
b.l 1
 
1.3%
웰치과기공소 1
 
1.3%
미소치과기공소 1
 
1.3%
지오치과기공소 1
 
1.3%
미다듬 1
 
1.3%
Other values (52) 52
69.3%
2023-12-13T06:22:45.484495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 60
 
11.5%
소 59
 
11.3%
기 58
 
11.1%
공 58
 
11.1%
과 58
 
11.1%
16
 
3.1%
이 10
 
1.9%
스 8
 
1.5%
리 7
 
1.3%
아 6
 
1.1%
Other values (120) 184
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
90.6%
Space Separator 16
 
3.1%
Uppercase Letter 16
 
3.1%
Lowercase Letter 5
 
1.0%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Other Punctuation 3
 
0.6%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 60
12.6%
소 59
12.4%
기 58
 
12.2%
공 58
 
12.2%
과 58
 
12.2%
이 10
 
2.1%
스 8
 
1.7%
리 7
 
1.5%
아 6
 
1.3%
미 6
 
1.3%
Other values (99) 145
30.5%
Uppercase Letter
ValueCountFrequency (%)
T 5
31.2%
O 2
 
12.5%
S 1
 
6.2%
D 1
 
6.2%
C 1
 
6.2%
K 1
 
6.2%
J 1
 
6.2%
L 1
 
6.2%
B 1
 
6.2%
H 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
t 1
20.0%
s 1
20.0%
u 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
90.6%
Common 28
 
5.3%
Latin 21
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 60
12.6%
소 59
12.4%
기 58
 
12.2%
공 58
 
12.2%
과 58
 
12.2%
이 10
 
2.1%
스 8
 
1.7%
리 7
 
1.5%
아 6
 
1.3%
미 6
 
1.3%
Other values (99) 145
30.5%
Latin
ValueCountFrequency (%)
T 5
23.8%
O 2
 
9.5%
S 1
 
4.8%
D 1
 
4.8%
C 1
 
4.8%
K 1
 
4.8%
J 1
 
4.8%
L 1
 
4.8%
B 1
 
4.8%
e 1
 
4.8%
Other values (6) 6
28.6%
Common
ValueCountFrequency (%)
16
57.1%
) 4
 
14.3%
( 4
 
14.3%
. 3
 
10.7%
- 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
90.6%
ASCII 49
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 60
12.6%
소 59
12.4%
기 58
 
12.2%
공 58
 
12.2%
과 58
 
12.2%
이 10
 
2.1%
스 8
 
1.7%
리 7
 
1.5%
아 6
 
1.3%
미 6
 
1.3%
Other values (99) 145
30.5%
ASCII
ValueCountFrequency (%)
16
32.7%
T 5
 
10.2%
) 4
 
8.2%
( 4
 
8.2%
. 3
 
6.1%
O 2
 
4.1%
S 1
 
2.0%
D 1
 
2.0%
C 1
 
2.0%
K 1
 
2.0%
Other values (11) 11
22.4%

도로명주소
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-13T06:22:45.790549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length33.79661
Min length22

Characters and Unicode

Total characters1994
Distinct characters113
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

Unique59 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 법원로4길 5, 송파법조타운푸르지오 318호 (문정동)
2nd row서울특별시 송파구 송이로 102-1, 3층 (가락동)
3rd row서울특별시 송파구 송이로17길 54-27, 302호 (가락동)
4th row서울특별시 송파구 동남로 113, 401호 (가락동)
5th row서울특별시 송파구 올림픽로32길 22-22, 4층 (방이동)
ValueCountFrequency (%)
서울특별시 59
 
15.0%
송파구 59
 
15.0%
2층 18
 
4.6%
가락동 14
 
3.6%
송파동 10
 
2.5%
3층 10
 
2.5%
4층 9
 
2.3%
문정동 8
 
2.0%
잠실동 7
 
1.8%
방이동 7
 
1.8%
Other values (147) 193
49.0%
2023-12-13T06:22:46.192794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
 
16.8%
2 80
 
4.0%
송 78
 
3.9%
파 76
 
3.8%
동 71
 
3.6%
, 66
 
3.3%
1 65
 
3.3%
로 61
 
3.1%
서 60
 
3.0%
시 60
 
3.0%
Other values (103) 1042
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
55.5%
Decimal Number 348
 
17.5%
Space Separator 335
 
16.8%
Other Punctuation 66
 
3.3%
Close Punctuation 59
 
3.0%
Open Punctuation 59
 
3.0%
Dash Punctuation 17
 
0.9%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 78
 
7.0%
파 76
 
6.9%
동 71
 
6.4%
로 61
 
5.5%
서 60
 
5.4%
시 60
 
5.4%
울 59
 
5.3%
구 59
 
5.3%
특 59
 
5.3%
별 59
 
5.3%
Other values (86) 465
42.0%
Decimal Number
ValueCountFrequency (%)
2 80
23.0%
1 65
18.7%
4 41
11.8%
3 38
10.9%
0 36
10.3%
6 20
 
5.7%
5 20
 
5.7%
7 17
 
4.9%
8 16
 
4.6%
9 15
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
335
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
55.5%
Common 884
44.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 78
 
7.0%
파 76
 
6.9%
동 71
 
6.4%
로 61
 
5.5%
서 60
 
5.4%
시 60
 
5.4%
울 59
 
5.3%
구 59
 
5.3%
특 59
 
5.3%
별 59
 
5.3%
Other values (86) 465
42.0%
Common
ValueCountFrequency (%)
335
37.9%
2 80
 
9.0%
, 66
 
7.5%
1 65
 
7.4%
) 59
 
6.7%
( 59
 
6.7%
4 41
 
4.6%
3 38
 
4.3%
0 36
 
4.1%
6 20
 
2.3%
Other values (5) 85
 
9.6%
Latin
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
55.5%
ASCII 887
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
37.8%
2 80
 
9.0%
, 66
 
7.4%
1 65
 
7.3%
) 59
 
6.7%
( 59
 
6.7%
4 41
 
4.6%
3 38
 
4.3%
0 36
 
4.1%
6 20
 
2.3%
Other values (7) 88
 
9.9%
Hangul
ValueCountFrequency (%)
송 78
 
7.0%
파 76
 
6.9%
동 71
 
6.4%
로 61
 
5.5%
서 60
 
5.4%
시 60
 
5.4%
울 59
 
5.3%
구 59
 
5.3%
특 59
 
5.3%
별 59
 
5.3%
Other values (86) 465
42.0%

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing9
Missing (%)15.3%
Memory size604.0 B
2023-12-13T06:22:46.421589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.18
Min length11

Characters and Unicode

Total characters559
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

Unique50 ?
Unique (%)100.0%

Sample

1st row02-431-0819
2nd row02-6953-2870
3rd row02-2038-3081
4th row02-2677-2804
5th row02-514-2890
ValueCountFrequency (%)
02-406-5706 1
 
2.0%
02-431-0819 1
 
2.0%
02-574-2804 1
 
2.0%
02-417-2558 1
 
2.0%
02-409-2825 1
 
2.0%
02-571-7088 1
 
2.0%
02-417-1041 1
 
2.0%
02-424-2965 1
 
2.0%
02-413-2889 1
 
2.0%
02-401-6361 1
 
2.0%
Other values (40) 40
80.0%
2023-12-13T06:22:46.740643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 111
19.9%
- 100
17.9%
0 94
16.8%
4 59
10.6%
8 51
9.1%
7 30
 
5.4%
1 30
 
5.4%
5 24
 
4.3%
3 23
 
4.1%
9 19
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 459
82.1%
Dash Punctuation 100
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 111
24.2%
0 94
20.5%
4 59
12.9%
8 51
11.1%
7 30
 
6.5%
1 30
 
6.5%
5 24
 
5.2%
3 23
 
5.0%
9 19
 
4.1%
6 18
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 111
19.9%
- 100
17.9%
0 94
16.8%
4 59
10.6%
8 51
9.1%
7 30
 
5.4%
1 30
 
5.4%
5 24
 
4.3%
3 23
 
4.1%
9 19
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 111
19.9%
- 100
17.9%
0 94
16.8%
4 59
10.6%
8 51
9.1%
7 30
 
5.4%
1 30
 
5.4%
5 24
 
4.3%
3 23
 
4.1%
9 19
 
3.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2021-09-10 00:00:00
Maximum2021-09-10 00:00:00
2023-12-13T06:22:46.861004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:46.941814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T06:22:47.003702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기공소명도로명주소전화번호
기공소명1.0001.0001.000
도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-13T06:22:44.740749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:22:44.825748image/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

기공소명도로명주소전화번호데이터기준일자
0유얼라인 투명교정 치과기공소서울특별시 송파구 법원로4길 5, 송파법조타운푸르지오 318호 (문정동)02-431-08192021-09-10
1디지털코리아치과기공소서울특별시 송파구 송이로 102-1, 3층 (가락동)<NA>2021-09-10
2목 치과기공소서울특별시 송파구 송이로17길 54-27, 302호 (가락동)<NA>2021-09-10
3에스-텍 치과기공소서울특별시 송파구 동남로 113, 401호 (가락동)<NA>2021-09-10
4에이플러스치과기공소서울특별시 송파구 올림픽로32길 22-22, 4층 (방이동)<NA>2021-09-10
5프라임치과기공소서울특별시 송파구 삼전로13길 47, 207호 (잠실동)<NA>2021-09-10
6에이엔디덴탈랩서울특별시 송파구 오금로46길 22, 2층 (가락동)02-6953-28702021-09-10
7유닛치과기공소서울특별시 송파구 가락로18길 4-1, 2층 (송파동)<NA>2021-09-10
8스마일라인치과기공소서울특별시 송파구 송이로 95, 화영빌딩 4층 (가락동)<NA>2021-09-10
9이굿플치과기공소서울특별시 송파구 거마로2길 3-4, 2층 201호 (거여동)02-2038-30812021-09-10
기공소명도로명주소전화번호데이터기준일자
49청산치과기공소서울특별시 송파구 백제고분로9길 26, 3층 (잠실동, 매은빌딩)02-421-46142021-09-10
50으뜸치과기공소서울특별시 송파구 올림픽로32길 22-5 (방이동)02-413-55282021-09-10
51수치과기공소서울특별시 송파구 동남로3길 17-14, 201호 (가락동)02-404-28452021-09-10
52티타늄 코리아 치과기공소서울특별시 송파구 송파대로 406, 4층 (송파동)02-2203-02512021-09-10
53크리아트치과기공소서울특별시 송파구 동남로24길 15 (오금동, 이조빌딩 2층 202호)02-408-18482021-09-10
54열린치과기공소서울특별시 송파구 오금로34길 10 (가락동)02-424-55742021-09-10
55미치과기공소서울특별시 송파구 백제고분로46길 8, 4층 401호 (송파동, 서암빌딩)02-400-17922021-09-10
56엘리트치과기공소서울특별시 송파구 풍성로 69 (풍납동)02-479-20422021-09-10
57쌍용치과기공소서울특별시 송파구 석촌호수로18길 24, 3층 (석촌동)02-421-61852021-09-10
58덴텍매니아치과기공소서울특별시 송파구 동남로8길 29-12, 2층 202호 (문정동)02-430-82902021-09-10