Overview

Dataset statistics

Number of variables4
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory34.9 B

Variable types

Text3
DateTime1

Dataset

Description서울특별시 금천구 관내 안경업소 등록현황으로 안경업소명, 사업장소재지(도로명), 전화번호, 데이터기준일자 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3081142/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업장소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:13:28.057283
Analysis finished2023-12-12 12:13:28.800458
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안경업소명칭
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T21:13:28.999149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.5
Min length2

Characters and Unicode

Total characters391
Distinct characters125
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

Unique44 ?
Unique (%)95.7%

Sample

1st row오투스안경원
2nd row독산안경박사
3rd row1001안경 위드렌즈(독산점)
4th rowALO현대아울렛가산점
5th row뷰맵
ValueCountFrequency (%)
안경 5
 
7.4%
콘택트 3
 
4.4%
안경콘택트 2
 
2.9%
착한안경 2
 
2.9%
1001안경 1
 
1.5%
위드렌즈(독산점 1
 
1.5%
오투스안경원 1
 
1.5%
수도안경원 1
 
1.5%
한빛안경랜드 1
 
1.5%
착한안경원 1
 
1.5%
Other values (50) 50
73.5%
2023-12-12T21:13:29.389852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 39
 
10.0%
경 39
 
10.0%
22
 
5.6%
원 15
 
3.8%
점 14
 
3.6%
리 8
 
2.0%
트 8
 
2.0%
아 8
 
2.0%
스 7
 
1.8%
시 7
 
1.8%
Other values (115) 224
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
84.9%
Space Separator 22
 
5.6%
Decimal Number 14
 
3.6%
Lowercase Letter 7
 
1.8%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Uppercase Letter 5
 
1.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 39
 
11.7%
경 39
 
11.7%
원 15
 
4.5%
점 14
 
4.2%
리 8
 
2.4%
트 8
 
2.4%
아 8
 
2.4%
스 7
 
2.1%
시 7
 
2.1%
산 6
 
1.8%
Other values (93) 181
54.5%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
1 4
28.6%
7 1
 
7.1%
2 1
 
7.1%
9 1
 
7.1%
3 1
 
7.1%
5 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
e 1
14.3%
d 1
14.3%
o 1
14.3%
a 1
14.3%
l 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
L 1
20.0%
A 1
20.0%
G 1
20.0%
O 1
20.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
84.9%
Common 47
 
12.0%
Latin 12
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 39
 
11.7%
경 39
 
11.7%
원 15
 
4.5%
점 14
 
4.2%
리 8
 
2.4%
트 8
 
2.4%
아 8
 
2.4%
스 7
 
2.1%
시 7
 
2.1%
산 6
 
1.8%
Other values (93) 181
54.5%
Common
ValueCountFrequency (%)
22
46.8%
( 5
 
10.6%
0 5
 
10.6%
) 5
 
10.6%
1 4
 
8.5%
7 1
 
2.1%
2 1
 
2.1%
9 1
 
2.1%
3 1
 
2.1%
& 1
 
2.1%
Latin
ValueCountFrequency (%)
s 2
16.7%
e 1
8.3%
d 1
8.3%
o 1
8.3%
C 1
8.3%
L 1
8.3%
a 1
8.3%
A 1
8.3%
G 1
8.3%
l 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
84.9%
ASCII 59
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 39
 
11.7%
경 39
 
11.7%
원 15
 
4.5%
점 14
 
4.2%
리 8
 
2.4%
트 8
 
2.4%
아 8
 
2.4%
스 7
 
2.1%
시 7
 
2.1%
산 6
 
1.8%
Other values (93) 181
54.5%
ASCII
ValueCountFrequency (%)
22
37.3%
( 5
 
8.5%
0 5
 
8.5%
) 5
 
8.5%
1 4
 
6.8%
s 2
 
3.4%
7 1
 
1.7%
2 1
 
1.7%
9 1
 
1.7%
3 1
 
1.7%
Other values (12) 12
20.3%

사업장소재지(도로명)
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T21:13:29.659370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length33.369565
Min length21

Characters and Unicode

Total characters1535
Distinct characters119
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

Unique46 ?
Unique (%)100.0%

Sample

1st row서울특별시 금천구 가산디지털1로 145, 에이스하이엔드타워3차 B104호 (가산동)
2nd row서울특별시 금천구 시흥대로138길 33(독산동)
3rd row서울특별시 금천구 독산로 215, 101-103호 (독산동)
4th row서울특별시 금천구 디지털로10길 9, 현대시티아울렛 가산점 지하1층 (가산동)
5th row서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 1층 110호 (가산동)
ValueCountFrequency (%)
서울특별시 46
 
15.7%
금천구 46
 
15.7%
시흥동 17
 
5.8%
가산동 15
 
5.1%
시흥대로 13
 
4.4%
독산동 12
 
4.1%
1층 11
 
3.8%
독산로 7
 
2.4%
금하로 6
 
2.0%
가산디지털1로 5
 
1.7%
Other values (99) 115
39.2%
2023-12-12T21:13:30.168946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
16.1%
시 82
 
5.3%
1 72
 
4.7%
금 56
 
3.6%
천 50
 
3.3%
울 49
 
3.2%
산 49
 
3.2%
동 48
 
3.1%
서 47
 
3.1%
) 47
 
3.1%
Other values (109) 788
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 914
59.5%
Space Separator 247
 
16.1%
Decimal Number 220
 
14.3%
Close Punctuation 47
 
3.1%
Open Punctuation 47
 
3.1%
Other Punctuation 47
 
3.1%
Uppercase Letter 7
 
0.5%
Dash Punctuation 5
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 82
 
9.0%
금 56
 
6.1%
천 50
 
5.5%
울 49
 
5.4%
산 49
 
5.4%
동 48
 
5.3%
서 47
 
5.1%
특 46
 
5.0%
별 46
 
5.0%
구 46
 
5.0%
Other values (91) 395
43.2%
Decimal Number
ValueCountFrequency (%)
1 72
32.7%
3 24
 
10.9%
6 21
 
9.5%
0 20
 
9.1%
2 20
 
9.1%
5 18
 
8.2%
9 16
 
7.3%
8 11
 
5.0%
4 11
 
5.0%
7 7
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
85.7%
A 1
 
14.3%
Space Separator
ValueCountFrequency (%)
247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 914
59.5%
Common 613
39.9%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 82
 
9.0%
금 56
 
6.1%
천 50
 
5.5%
울 49
 
5.4%
산 49
 
5.4%
동 48
 
5.3%
서 47
 
5.1%
특 46
 
5.0%
별 46
 
5.0%
구 46
 
5.0%
Other values (91) 395
43.2%
Common
ValueCountFrequency (%)
247
40.3%
1 72
 
11.7%
) 47
 
7.7%
( 47
 
7.7%
, 47
 
7.7%
3 24
 
3.9%
6 21
 
3.4%
0 20
 
3.3%
2 20
 
3.3%
5 18
 
2.9%
Other values (5) 50
 
8.2%
Latin
ValueCountFrequency (%)
B 6
75.0%
w 1
 
12.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 914
59.5%
ASCII 621
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
39.8%
1 72
 
11.6%
) 47
 
7.6%
( 47
 
7.6%
, 47
 
7.6%
3 24
 
3.9%
6 21
 
3.4%
0 20
 
3.2%
2 20
 
3.2%
5 18
 
2.9%
Other values (8) 58
 
9.3%
Hangul
ValueCountFrequency (%)
시 82
 
9.0%
금 56
 
6.1%
천 50
 
5.5%
울 49
 
5.4%
산 49
 
5.4%
동 48
 
5.3%
서 47
 
5.1%
특 46
 
5.0%
별 46
 
5.0%
구 46
 
5.0%
Other values (91) 395
43.2%

사업장전화번호
Text

Distinct37
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T21:13:30.422840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.282609
Min length7

Characters and Unicode

Total characters473
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

Unique36 ?
Unique (%)78.3%

Sample

1st row데이터 미수집
2nd row02-863-9556
3rd row02-807-3094
4th row데이터 미수집
5th row데이터 미수집
ValueCountFrequency (%)
데이터 11
19.3%
미수집 11
19.3%
02-857-7966 1
 
1.8%
02-2025-5959 1
 
1.8%
070-4411-0552 1
 
1.8%
02-803-2002 1
 
1.8%
02-858-1001 1
 
1.8%
02-2081-0923 1
 
1.8%
02-893-8384 1
 
1.8%
02-2026-0102 1
 
1.8%
Other values (27) 27
47.4%
2023-12-12T21:13:30.795501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 79
16.7%
- 70
14.8%
2 64
13.5%
8 39
8.2%
9 25
 
5.3%
6 25
 
5.3%
5 24
 
5.1%
4 21
 
4.4%
3 18
 
3.8%
1 17
 
3.6%
Other values (8) 91
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 325
68.7%
Dash Punctuation 70
 
14.8%
Other Letter 66
 
14.0%
Space Separator 12
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79
24.3%
2 64
19.7%
8 39
12.0%
9 25
 
7.7%
6 25
 
7.7%
5 24
 
7.4%
4 21
 
6.5%
3 18
 
5.5%
1 17
 
5.2%
7 13
 
4.0%
Other Letter
ValueCountFrequency (%)
이 11
16.7%
집 11
16.7%
수 11
16.7%
미 11
16.7%
터 11
16.7%
데 11
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 407
86.0%
Hangul 66
 
14.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 79
19.4%
- 70
17.2%
2 64
15.7%
8 39
9.6%
9 25
 
6.1%
6 25
 
6.1%
5 24
 
5.9%
4 21
 
5.2%
3 18
 
4.4%
1 17
 
4.2%
Other values (2) 25
 
6.1%
Hangul
ValueCountFrequency (%)
이 11
16.7%
집 11
16.7%
수 11
16.7%
미 11
16.7%
터 11
16.7%
데 11
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 407
86.0%
Hangul 66
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 79
19.4%
- 70
17.2%
2 64
15.7%
8 39
9.6%
9 25
 
6.1%
6 25
 
6.1%
5 24
 
5.9%
4 21
 
5.2%
3 18
 
4.4%
1 17
 
4.2%
Other values (2) 25
 
6.1%
Hangul
ValueCountFrequency (%)
이 11
16.7%
집 11
16.7%
수 11
16.7%
미 11
16.7%
터 11
16.7%
데 11
16.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2023-08-03 00:00:00
Maximum2023-08-03 00:00:00
2023-12-12T21:13:30.918369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:31.016770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T21:13:31.090430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안경업소명칭사업장소재지(도로명)사업장전화번호
안경업소명칭1.0001.0001.000
사업장소재지(도로명)1.0001.0001.000
사업장전화번호1.0001.0001.000

Missing values

2023-12-12T21:13:28.657895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:13:28.764531image/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

안경업소명칭사업장소재지(도로명)사업장전화번호데이터기준일자
0오투스안경원서울특별시 금천구 가산디지털1로 145, 에이스하이엔드타워3차 B104호 (가산동)데이터 미수집2023-08-03
1독산안경박사서울특별시 금천구 시흥대로138길 33(독산동)02-863-95562023-08-03
21001안경 위드렌즈(독산점)서울특별시 금천구 독산로 215, 101-103호 (독산동)02-807-30942023-08-03
3ALO현대아울렛가산점서울특별시 금천구 디지털로10길 9, 현대시티아울렛 가산점 지하1층 (가산동)데이터 미수집2023-08-03
4뷰맵서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 1층 110호 (가산동)데이터 미수집2023-08-03
5안경진정성 금천롯데캐슬점서울특별시 금천구 시흥대로 291, 310동 B15호 (독산동, 금천롯데캐슬골드파크3차)데이터 미수집2023-08-03
6남대문 안경서울특별시 금천구 남부순환로 1384, 영남빌딩 1층 (독산동)02-853-55672023-08-03
7안경집서울특별시 금천구 금하로 645, 1층 (시흥동)데이터 미수집2023-08-03
8착한안경서울특별시 금천구 독산로 194, 영재빌딩 1층 (독산동)데이터 미수집2023-08-03
9글라스타 시흥대로점서울특별시 금천구 시흥대로 167, 1층 (시흥동, 국민은행시흥동점)02-894-60072023-08-03
안경업소명칭사업장소재지(도로명)사업장전화번호데이터기준일자
36남대문안경원서울특별시 금천구 독산로 217 (독산동)02-806-56772023-08-03
37안경마당서울특별시 금천구 시흥대로 211, 1층 (시흥동)02-802-50052023-08-03
38빠세빠세안경클럽서울특별시 금천구 독산로 353, 1층 (독산동)데이터 미수집2023-08-03
39트인안경원서울특별시 금천구 시흥대로 90 (시흥동)02-808-10102023-08-03
40형제안경원서울특별시 금천구 독산로 258 (독산동)02-863-21442023-08-03
41박철웅안경원서울특별시 금천구 시흥대로 235 (시흥동)02-802-99222023-08-03
42안경산책서울특별시 금천구 독산로 135 (시흥동)02-802-31162023-08-03
43한독안경원서울특별시 금천구 은행나무로 51 (시흥동)02-803-04312023-08-03
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