Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory53.7 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description제주특별자치도 서귀포시 관내 안경업소에 관한 데이터로 안경업소 명칭, 소재지, 전화번호, 위도, 경도 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056114/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
안경업소명칭 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:31:46.804111
Analysis finished2023-12-12 07:31:47.553590
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안경업소명칭
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T16:31:47.785258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.8055556
Min length3

Characters and Unicode

Total characters245
Distinct characters91
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row눈을맞추다 서귀포신시가지점
2nd row안경해라
3rd row오렌즈 제주서귀포점
4th row봄안경
5th row누리바로
ValueCountFrequency (%)
안경 3
 
5.7%
서귀포 2
 
3.8%
서귀포점 2
 
3.8%
눈을맞추다 1
 
1.9%
안경ok콘택트 1
 
1.9%
표선봄안경원 1
 
1.9%
글라스안경 1
 
1.9%
파가니니안경원서귀포점 1
 
1.9%
아이데코 1
 
1.9%
행복한 1
 
1.9%
Other values (39) 39
73.6%
2023-12-12T16:31:48.188355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 27
 
11.0%
경 27
 
11.0%
17
 
6.9%
원 9
 
3.7%
서 9
 
3.7%
귀 9
 
3.7%
포 9
 
3.7%
점 8
 
3.3%
다 6
 
2.4%
이 6
 
2.4%
Other values (81) 118
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
90.6%
Space Separator 17
 
6.9%
Uppercase Letter 5
 
2.0%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 27
 
12.2%
경 27
 
12.2%
원 9
 
4.1%
서 9
 
4.1%
귀 9
 
4.1%
포 9
 
4.1%
점 8
 
3.6%
다 6
 
2.7%
이 6
 
2.7%
아 4
 
1.8%
Other values (74) 108
48.6%
Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
K 1
20.0%
Y 1
20.0%
E 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
90.6%
Common 18
 
7.3%
Latin 5
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 27
 
12.2%
경 27
 
12.2%
원 9
 
4.1%
서 9
 
4.1%
귀 9
 
4.1%
포 9
 
4.1%
점 8
 
3.6%
다 6
 
2.7%
이 6
 
2.7%
아 4
 
1.8%
Other values (74) 108
48.6%
Latin
ValueCountFrequency (%)
O 1
20.0%
K 1
20.0%
Y 1
20.0%
E 1
20.0%
S 1
20.0%
Common
ValueCountFrequency (%)
17
94.4%
- 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
90.6%
ASCII 23
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 27
 
12.2%
경 27
 
12.2%
원 9
 
4.1%
서 9
 
4.1%
귀 9
 
4.1%
포 9
 
4.1%
점 8
 
3.6%
다 6
 
2.7%
이 6
 
2.7%
아 4
 
1.8%
Other values (74) 108
48.6%
ASCII
ValueCountFrequency (%)
17
73.9%
O 1
 
4.3%
K 1
 
4.3%
- 1
 
4.3%
Y 1
 
4.3%
E 1
 
4.3%
S 1
 
4.3%

소재지
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T16:31:48.467522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length28.583333
Min length22

Characters and Unicode

Total characters1029
Distinct characters111
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

Unique36 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 대청로 37 102호 (강정동)
2nd row제주특별자치도 서귀포시 남원읍 남조로 5
3rd row제주특별자치도 서귀포시 중앙로 37 삼일약국 1층 (서귀동)
4th row제주특별자치도 서귀포시 대청로 39 오름빌딩 2차 103호 (강정동)
5th row제주특별자치도 서귀포시 중앙로89번길 15 (서귀동)
ValueCountFrequency (%)
제주특별자치도 36
18.2%
서귀포시 36
18.2%
서귀동 14
 
7.1%
중앙로 12
 
6.1%
대정읍 4
 
2.0%
동홍동 4
 
2.0%
표선면 3
 
1.5%
일주동로 3
 
1.5%
성산읍 3
 
1.5%
강정동 3
 
1.5%
Other values (71) 80
40.4%
2023-12-12T16:31:48.939392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
15.7%
서 53
 
5.2%
귀 51
 
5.0%
주 40
 
3.9%
로 39
 
3.8%
제 37
 
3.6%
포 37
 
3.6%
시 36
 
3.5%
도 36
 
3.5%
치 36
 
3.5%
Other values (101) 502
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
68.5%
Space Separator 162
 
15.7%
Decimal Number 106
 
10.3%
Close Punctuation 25
 
2.4%
Open Punctuation 25
 
2.4%
Dash Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 53
 
7.5%
귀 51
 
7.2%
주 40
 
5.7%
로 39
 
5.5%
제 37
 
5.2%
포 37
 
5.2%
시 36
 
5.1%
도 36
 
5.1%
치 36
 
5.1%
자 36
 
5.1%
Other values (84) 304
43.1%
Decimal Number
ValueCountFrequency (%)
1 21
19.8%
2 15
14.2%
9 11
10.4%
7 11
10.4%
4 10
9.4%
0 10
9.4%
8 9
8.5%
3 9
8.5%
5 6
 
5.7%
6 4
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
68.5%
Common 322
31.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 53
 
7.5%
귀 51
 
7.2%
주 40
 
5.7%
로 39
 
5.5%
제 37
 
5.2%
포 37
 
5.2%
시 36
 
5.1%
도 36
 
5.1%
치 36
 
5.1%
자 36
 
5.1%
Other values (84) 304
43.1%
Common
ValueCountFrequency (%)
162
50.3%
) 25
 
7.8%
( 25
 
7.8%
1 21
 
6.5%
2 15
 
4.7%
9 11
 
3.4%
7 11
 
3.4%
4 10
 
3.1%
0 10
 
3.1%
8 9
 
2.8%
Other values (5) 23
 
7.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
68.5%
ASCII 324
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
50.0%
) 25
 
7.7%
( 25
 
7.7%
1 21
 
6.5%
2 15
 
4.6%
9 11
 
3.4%
7 11
 
3.4%
4 10
 
3.1%
0 10
 
3.1%
8 9
 
2.8%
Other values (7) 25
 
7.7%
Hangul
ValueCountFrequency (%)
서 53
 
7.5%
귀 51
 
7.2%
주 40
 
5.7%
로 39
 
5.5%
제 37
 
5.2%
포 37
 
5.2%
시 36
 
5.1%
도 36
 
5.1%
치 36
 
5.1%
자 36
 
5.1%
Other values (84) 304
43.1%

전화번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T16:31:49.174813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique36 ?
Unique (%)100.0%

Sample

1st row064-739-0232
2nd row064-764-7258
3rd row064-733-6949
4th row064-739-5776
5th row064-747-0258
ValueCountFrequency (%)
064-739-0232 1
 
2.8%
064-764-7258 1
 
2.8%
064-732-2600 1
 
2.8%
064-763-0880 1
 
2.8%
064-762-2525 1
 
2.8%
064-784-5775 1
 
2.8%
064-732-5454 1
 
2.8%
064-738-4004 1
 
2.8%
064-739-6656 1
 
2.8%
064-764-2415 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T16:31:49.534228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.7%
0 64
14.8%
6 59
13.7%
4 59
13.7%
7 54
12.5%
3 32
7.4%
2 31
7.2%
5 22
 
5.1%
8 18
 
4.2%
9 14
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
17.8%
6 59
16.4%
4 59
16.4%
7 54
15.0%
3 32
8.9%
2 31
8.6%
5 22
 
6.1%
8 18
 
5.0%
9 14
 
3.9%
1 7
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.7%
0 64
14.8%
6 59
13.7%
4 59
13.7%
7 54
12.5%
3 32
7.4%
2 31
7.2%
5 22
 
5.1%
8 18
 
4.2%
9 14
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.7%
0 64
14.8%
6 59
13.7%
4 59
13.7%
7 54
12.5%
3 32
7.4%
2 31
7.2%
5 22
 
5.1%
8 18
 
4.2%
9 14
 
3.2%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.274215
Minimum33.221634
Maximum33.45004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T16:31:49.703598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.221634
5-th percentile33.230976
Q133.248515
median33.252189
Q333.26517
95-th percentile33.446559
Maximum33.45004
Range0.22840575
Interquartile range (IQR)0.01665509

Descriptive statistics

Standard deviation0.058198136
Coefficient of variation (CV)0.0017490461
Kurtosis4.9335057
Mean33.274215
Median Absolute Deviation (MAD)0.003789885
Skewness2.3755293
Sum1197.8718
Variance0.0033870231
MonotonicityNot monotonic
2023-12-12T16:31:49.882335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
33.25278026 1
 
2.8%
33.24719284 1
 
2.8%
33.32603527 1
 
2.8%
33.44725024 1
 
2.8%
33.25160142 1
 
2.8%
33.2517053 1
 
2.8%
33.24834574 1
 
2.8%
33.25300757 1
 
2.8%
33.27929829 1
 
2.8%
33.32538673 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
33.22163433 1
2.8%
33.22177582 1
2.8%
33.23404247 1
2.8%
33.24719284 1
2.8%
33.24764363 1
2.8%
33.2479897 1
2.8%
33.24829161 1
2.8%
33.24834574 1
2.8%
33.24845161 1
2.8%
33.24853587 1
2.8%
ValueCountFrequency (%)
33.45004008 1
2.8%
33.44725024 1
2.8%
33.44632805 1
2.8%
33.32679183 1
2.8%
33.32603527 1
2.8%
33.32538673 1
2.8%
33.28072967 1
2.8%
33.28027567 1
2.8%
33.27929829 1
2.8%
33.26046043 1
2.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.57552
Minimum126.25218
Maximum126.91473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T16:31:50.018860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25218
5-th percentile126.26146
Q1126.50867
median126.56132
Q3126.56666
95-th percentile126.91232
Maximum126.91473
Range0.6625523
Interquartile range (IQR)0.0579891

Descriptive statistics

Standard deviation0.17267444
Coefficient of variation (CV)0.0013642009
Kurtosis0.2783331
Mean126.57552
Median Absolute Deviation (MAD)0.0316635
Skewness0.24134404
Sum4556.7186
Variance0.029816462
MonotonicityNot monotonic
2023-12-12T16:31:50.201045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.5036829 1
 
2.8%
126.5609597 1
 
2.8%
126.8329845 1
 
2.8%
126.9147331 1
 
2.8%
126.5613589 1
 
2.8%
126.427276 1
 
2.8%
126.5091163 1
 
2.8%
126.561533 1
 
2.8%
126.7192387 1
 
2.8%
126.8322903 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
126.2521808 1
2.8%
126.2532251 1
2.8%
126.2641987 1
2.8%
126.2782438 1
2.8%
126.4254842 1
2.8%
126.427276 1
2.8%
126.5036829 1
2.8%
126.5040249 1
2.8%
126.5073232 1
2.8%
126.5091163 1
2.8%
ValueCountFrequency (%)
126.9147331 1
2.8%
126.9146314 1
2.8%
126.9115463 1
2.8%
126.8329845 1
2.8%
126.8322903 1
2.8%
126.8317085 1
2.8%
126.720862 1
2.8%
126.7192387 1
2.8%
126.5724433 1
2.8%
126.5647284 1
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-09-15
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 36
100.0%

Length

2023-12-12T16:31:50.369889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:50.509465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 36
100.0%

Interactions

2023-12-12T16:31:47.216166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:31:47.039395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:31:47.295550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:31:47.116247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:31:50.573186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안경업소명칭소재지전화번호위도경도
안경업소명칭1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.941
경도1.0001.0001.0000.9411.000
2023-12-12T16:31:50.671980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.540
경도0.5401.000

Missing values

2023-12-12T16:31:47.412803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:31:47.513645image/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

안경업소명칭소재지전화번호위도경도데이터기준일자
0눈을맞추다 서귀포신시가지점제주특별자치도 서귀포시 대청로 37 102호 (강정동)064-739-023233.25278126.5036832023-09-15
1안경해라제주특별자치도 서귀포시 남원읍 남조로 5064-764-725833.280276126.7208622023-09-15
2오렌즈 제주서귀포점제주특별자치도 서귀포시 중앙로 37 삼일약국 1층 (서귀동)064-733-694933.24799126.5615862023-09-15
3봄안경제주특별자치도 서귀포시 대청로 39 오름빌딩 2차 103호 (강정동)064-739-577633.252728126.5040252023-09-15
4누리바로제주특별자치도 서귀포시 중앙로89번길 15 (서귀동)064-747-025833.252089126.5588922023-09-15
5서귀포한라안경원제주특별자치도 서귀포시 중앙로 79 한라안경콘텍트 1층 (서귀동)064-763-353633.251702126.5609822023-09-15
6최남단안경원제주특별자치도 서귀포시 대정읍 일주서로 2460064-792-300733.234042126.2641992023-09-15
7더좋은안경원제주특별자치도 서귀포시 중앙로 59 더좋은안경원 (서귀동)064-900-432033.249902126.5613182023-09-15
8아이피아안경원제주특별자치도 서귀포시 중앙로 180 홈플러스서귀포점 (동홍동)064-763-251333.26046126.5599272023-09-15
9눈을 맞추다제주특별자치도 서귀포시 대정읍 글로벌에듀로 370 이노에듀파크 119호064-792-024233.28073126.2782442023-09-15
안경업소명칭소재지전화번호위도경도데이터기준일자
26아이데코 안경제주특별자치도 서귀포시 중앙로 94 (서귀동)064-732-260033.253008126.5615332023-09-15
27남원안경제주특별자치도 서귀포시 남원읍 태위로679번길 2064-764-241533.279298126.7192392023-09-15
28YES안경제주특별자치도 서귀포시 표선면 표선동서로 241064-787-198233.325387126.832292023-09-15
29레오나르도 다빈치제주특별자치도 서귀포시 대정읍 하모상가로 29064-792-444933.221634126.2521812023-09-15
30크로바안경제주특별자치도 서귀포시 동문로 2 (서귀동)064-762-262033.252278126.5615052023-09-15
31중문안경방제주특별자치도 서귀포시 중문상로 43 (중문동)064-738-744433.252411126.4254842023-09-15
32다본안경원제주특별자치도 서귀포시 대정읍 하모상가로 41064-792-060633.221776126.2532252023-09-15
33밝은눈안경제주특별자치도 서귀포시 성산읍 고성오조로 71064-782-438733.45004126.9146312023-09-15
34제일안경제주특별자치도 서귀포시 중정로 77-1 (서귀동)064-762-358533.248452126.5647282023-09-15
35중앙안경제주특별자치도 서귀포시 중앙로 43-1 (서귀동)064-732-495833.248536126.5615152023-09-15