Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory63.0 B

Variable types

Numeric1
Text3
Categorical2
DateTime1

Dataset

Description전라북도 정읍시에 위치한 안경업소의 정보(명칭, 사업장소재지, 전화번호, 담당부서, 담당부서전화 등)입니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/15075677/fileData.do

Alerts

담당부서명 has constant value ""Constant
담당부서전화 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
안경업소명칭 has unique valuesUnique
사업장소재지(도로명) has unique valuesUnique
사업장전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:42:58.626173
Analysis finished2023-12-12 13:42:59.066773
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:42:59.116999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T22:42:59.222522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

안경업소명칭
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:42:59.418658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.3636364
Min length4

Characters and Unicode

Total characters162
Distinct characters62
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row우리안경
2nd row푸른안경
3rd row마피안경원
4th row가온안경원
5th row안경매니져씨지브이점
ValueCountFrequency (%)
우리안경 1
 
3.7%
일공공일안경콘택트정읍중앙점 1
 
3.7%
지니스안경원 1
 
3.7%
신광당안경원 1
 
3.7%
안재희안경원 1
 
3.7%
대한안경 1
 
3.7%
보다안경콘택트 1
 
3.7%
안경매니져 1
 
3.7%
남매안경원상동점 1
 
3.7%
안경매니아(정읍상동점 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T22:42:59.745252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 23
 
14.2%
경 22
 
13.6%
원 11
 
6.8%
매 7
 
4.3%
점 6
 
3.7%
니 5
 
3.1%
5
 
3.1%
트 3
 
1.9%
아 3
 
1.9%
져 3
 
1.9%
Other values (52) 74
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
92.6%
Space Separator 5
 
3.1%
Decimal Number 4
 
2.5%
Close Punctuation 1
 
0.6%
Other Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 23
 
15.3%
경 22
 
14.7%
원 11
 
7.3%
매 7
 
4.7%
점 6
 
4.0%
니 5
 
3.3%
트 3
 
2.0%
아 3
 
2.0%
져 3
 
2.0%
남 3
 
2.0%
Other values (44) 64
42.7%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
6 1
25.0%
3 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
92.6%
Common 12
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 23
 
15.3%
경 22
 
14.7%
원 11
 
7.3%
매 7
 
4.7%
점 6
 
4.0%
니 5
 
3.3%
트 3
 
2.0%
아 3
 
2.0%
져 3
 
2.0%
남 3
 
2.0%
Other values (44) 64
42.7%
Common
ValueCountFrequency (%)
5
41.7%
) 1
 
8.3%
& 1
 
8.3%
( 1
 
8.3%
5 1
 
8.3%
6 1
 
8.3%
3 1
 
8.3%
2 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
92.6%
ASCII 12
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 23
 
15.3%
경 22
 
14.7%
원 11
 
7.3%
매 7
 
4.7%
점 6
 
4.0%
니 5
 
3.3%
트 3
 
2.0%
아 3
 
2.0%
져 3
 
2.0%
남 3
 
2.0%
Other values (44) 64
42.7%
ASCII
ValueCountFrequency (%)
5
41.7%
) 1
 
8.3%
& 1
 
8.3%
( 1
 
8.3%
5 1
 
8.3%
6 1
 
8.3%
3 1
 
8.3%
2 1
 
8.3%

사업장소재지(도로명)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:42:59.926712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30.5
Mean length23.227273
Min length19

Characters and Unicode

Total characters511
Distinct characters53
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

Unique22 ?
Unique (%)100.0%

Sample

1st row전라북도 정읍시 충정로 98 (상동)
2nd row전라북도 정읍시 초산로 50-1, 호남양은백화점 (시기동)
3rd row전라북도 정읍시 수성택지2길 79, 1층 (수성동)
4th row전라북도 정읍시 중앙로 25, 1층 (연지동)
5th row전라북도 정읍시 중앙1길 1, 1층 (수성동, CGV 정읍)
ValueCountFrequency (%)
전라북도 22
18.6%
정읍시 22
18.6%
중앙로 10
 
8.5%
1층 6
 
5.1%
수성동 6
 
5.1%
연지동 5
 
4.2%
상동 4
 
3.4%
충정로 3
 
2.5%
초산로 3
 
2.5%
시기동 3
 
2.5%
Other values (31) 34
28.8%
2023-12-12T22:43:00.291731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
18.8%
정 26
 
5.1%
시 26
 
5.1%
읍 25
 
4.9%
전 22
 
4.3%
북 22
 
4.3%
도 22
 
4.3%
라 22
 
4.3%
로 20
 
3.9%
) 19
 
3.7%
Other values (43) 211
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
59.9%
Space Separator 96
 
18.8%
Decimal Number 57
 
11.2%
Close Punctuation 19
 
3.7%
Open Punctuation 19
 
3.7%
Other Punctuation 9
 
1.8%
Uppercase Letter 3
 
0.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 26
 
8.5%
시 26
 
8.5%
읍 25
 
8.2%
전 22
 
7.2%
북 22
 
7.2%
도 22
 
7.2%
라 22
 
7.2%
로 20
 
6.5%
동 19
 
6.2%
앙 13
 
4.2%
Other values (25) 89
29.1%
Decimal Number
ValueCountFrequency (%)
1 15
26.3%
5 7
12.3%
2 6
 
10.5%
0 5
 
8.8%
4 5
 
8.8%
6 4
 
7.0%
8 4
 
7.0%
7 4
 
7.0%
9 4
 
7.0%
3 3
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
G 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
59.9%
Common 202
39.5%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 26
 
8.5%
시 26
 
8.5%
읍 25
 
8.2%
전 22
 
7.2%
북 22
 
7.2%
도 22
 
7.2%
라 22
 
7.2%
로 20
 
6.5%
동 19
 
6.2%
앙 13
 
4.2%
Other values (25) 89
29.1%
Common
ValueCountFrequency (%)
96
47.5%
) 19
 
9.4%
( 19
 
9.4%
1 15
 
7.4%
, 9
 
4.5%
5 7
 
3.5%
2 6
 
3.0%
0 5
 
2.5%
4 5
 
2.5%
6 4
 
2.0%
Other values (5) 17
 
8.4%
Latin
ValueCountFrequency (%)
V 1
33.3%
G 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
59.9%
ASCII 205
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
46.8%
) 19
 
9.3%
( 19
 
9.3%
1 15
 
7.3%
, 9
 
4.4%
5 7
 
3.4%
2 6
 
2.9%
0 5
 
2.4%
4 5
 
2.4%
6 4
 
2.0%
Other values (8) 20
 
9.8%
Hangul
ValueCountFrequency (%)
정 26
 
8.5%
시 26
 
8.5%
읍 25
 
8.2%
전 22
 
7.2%
북 22
 
7.2%
도 22
 
7.2%
라 22
 
7.2%
로 20
 
6.5%
동 19
 
6.2%
앙 13
 
4.2%
Other values (25) 89
29.1%

사업장전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:43:00.493741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row063-531-5001
2nd row063-537-1151
3rd row063-536-5339
4th row063-535-4708
5th row063-537-4029
ValueCountFrequency (%)
063-531-5001 1
 
4.5%
063-537-1151 1
 
4.5%
063-535-4969 1
 
4.5%
063-571-2100 1
 
4.5%
063-537-2060 1
 
4.5%
063-538-9974 1
 
4.5%
063-537-0300 1
 
4.5%
063-533-5755 1
 
4.5%
063-535-7281 1
 
4.5%
063-537-5945 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T22:43:00.831165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 51
19.3%
- 44
16.7%
0 41
15.5%
5 37
14.0%
6 28
10.6%
7 15
 
5.7%
2 14
 
5.3%
1 13
 
4.9%
4 8
 
3.0%
9 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 51
23.2%
0 41
18.6%
5 37
16.8%
6 28
12.7%
7 15
 
6.8%
2 14
 
6.4%
1 13
 
5.9%
4 8
 
3.6%
9 7
 
3.2%
8 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 51
19.3%
- 44
16.7%
0 41
15.5%
5 37
14.0%
6 28
10.6%
7 15
 
5.7%
2 14
 
5.3%
1 13
 
4.9%
4 8
 
3.0%
9 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 51
19.3%
- 44
16.7%
0 41
15.5%
5 37
14.0%
6 28
10.6%
7 15
 
5.7%
2 14
 
5.3%
1 13
 
4.9%
4 8
 
3.0%
9 7
 
2.7%

담당부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
보건위생과
22 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보건위생과
2nd row보건위생과
3rd row보건위생과
4th row보건위생과
5th row보건위생과

Common Values

ValueCountFrequency (%)
보건위생과 22
100.0%

Length

2023-12-12T22:43:01.003350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:01.125854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건위생과 22
100.0%

담당부서전화
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
063-539-6083
22 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row063-539-6083
2nd row063-539-6083
3rd row063-539-6083
4th row063-539-6083
5th row063-539-6083

Common Values

ValueCountFrequency (%)
063-539-6083 22
100.0%

Length

2023-12-12T22:43:01.264163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:01.441115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
063-539-6083 22
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-11-30 00:00:00
Maximum2023-11-30 00:00:00
2023-12-12T22:43:01.555327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:01.666580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:42:58.793583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:43:01.742858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안경업소명칭사업장소재지(도로명)사업장전화번호
연번1.0001.0001.0001.000
안경업소명칭1.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.000
사업장전화번호1.0001.0001.0001.000

Missing values

2023-12-12T22:42:58.910238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:42:59.027010image/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

연번안경업소명칭사업장소재지(도로명)사업장전화번호담당부서명담당부서전화데이터기준일
01우리안경전라북도 정읍시 충정로 98 (상동)063-531-5001보건위생과063-539-60832023-11-30
12푸른안경전라북도 정읍시 초산로 50-1, 호남양은백화점 (시기동)063-537-1151보건위생과063-539-60832023-11-30
23마피안경원전라북도 정읍시 수성택지2길 79, 1층 (수성동)063-536-5339보건위생과063-539-60832023-11-30
34가온안경원전라북도 정읍시 중앙로 25, 1층 (연지동)063-535-4708보건위생과063-539-60832023-11-30
45안경매니져씨지브이점전라북도 정읍시 중앙1길 1, 1층 (수성동, CGV 정읍)063-537-4029보건위생과063-539-60832023-11-30
56아이피아안경전라북도 정읍시 초산로 81 (수성동)063-538-3304보건위생과063-539-60832023-11-30
67남매안경본점 렌즈미전라북도 정읍시 초산로 84, 1층 (수성동, 일부)063-531-6278보건위생과063-539-60832023-11-30
78씨채널 안경원전라북도 정읍시 중앙로 285 (상동)063-537-7522보건위생과063-539-60832023-11-30
89남매안경원 2호점전라북도 정읍시 중앙로 106 (연지동)063-537-0200보건위생과063-539-60832023-11-30
910푸른안경원전라북도 정읍시 신태인읍 신태인중앙로 5-1063-571-5010보건위생과063-539-60832023-11-30
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