Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.3 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description전라남도 광양시에 소재한 한의원 정보를 전 국민들에게 무료로 제공합니다 (제공 공공데이터 정보 : 상호, 위치, 전화번호 등)
Author전라남도 광양시
URLhttps://www.data.go.kr/data/3077912/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
의료시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:25:53.225706
Analysis finished2023-12-12 22:25:53.585876
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T07:25:53.632312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-13T07:25:53.738263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

의료시설명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T07:25:53.910208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.72
Min length4

Characters and Unicode

Total characters143
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row광양광동한의원
2nd row보명당한의원
3rd row우리들한의원
4th row시민한의원
5th row경희한의원
ValueCountFrequency (%)
광양광동한의원 1
 
4.0%
백두한의원 1
 
4.0%
평강한의원 1
 
4.0%
광양한의원 1
 
4.0%
중화부부한의원 1
 
4.0%
백운한의원 1
 
4.0%
경희튼튼한의원 1
 
4.0%
해승한의원 1
 
4.0%
햇살한의원 1
 
4.0%
표준한의원 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T07:25:54.190544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 26
18.2%
의 26
18.2%
원 25
17.5%
광 6
 
4.2%
희 4
 
2.8%
양 4
 
2.8%
경 4
 
2.8%
동 3
 
2.1%
명 2
 
1.4%
백 2
 
1.4%
Other values (35) 41
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 26
18.2%
의 26
18.2%
원 25
17.5%
광 6
 
4.2%
희 4
 
2.8%
양 4
 
2.8%
경 4
 
2.8%
동 3
 
2.1%
명 2
 
1.4%
백 2
 
1.4%
Other values (35) 41
28.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 26
18.2%
의 26
18.2%
원 25
17.5%
광 6
 
4.2%
희 4
 
2.8%
양 4
 
2.8%
경 4
 
2.8%
동 3
 
2.1%
명 2
 
1.4%
백 2
 
1.4%
Other values (35) 41
28.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 26
18.2%
의 26
18.2%
원 25
17.5%
광 6
 
4.2%
희 4
 
2.8%
양 4
 
2.8%
경 4
 
2.8%
동 3
 
2.1%
명 2
 
1.4%
백 2
 
1.4%
Other values (35) 41
28.7%

소재지
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T07:25:54.383260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length24.56
Min length19

Characters and Unicode

Total characters614
Distinct characters60
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

Unique25 ?
Unique (%)100.0%

Sample

1st row전라남도 광양시 광양읍 신재로 42, 1층
2nd row전라남도 광양시 중마로 174, 2층 (중동)
3rd row전라남도 광양시 중마중앙로 56 (중동)
4th row전라남도 광양시 광양읍 읍내중앙길 17
5th row전라남도 광양시 중마중앙로 89, 1층 (중동)
ValueCountFrequency (%)
전라남도 25
17.2%
광양시 25
17.2%
2층 11
 
7.6%
중동 10
 
6.9%
광양읍 9
 
6.2%
1층 6
 
4.1%
신재로 4
 
2.8%
중마로 4
 
2.8%
중마중앙로 4
 
2.8%
칠성로 3
 
2.1%
Other values (39) 44
30.3%
2023-12-13T07:25:54.694367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
19.5%
광 40
 
6.5%
양 35
 
5.7%
전 25
 
4.1%
남 25
 
4.1%
도 25
 
4.1%
시 25
 
4.1%
라 25
 
4.1%
중 24
 
3.9%
로 22
 
3.6%
Other values (50) 248
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
58.1%
Space Separator 120
 
19.5%
Decimal Number 83
 
13.5%
Other Punctuation 21
 
3.4%
Close Punctuation 15
 
2.4%
Open Punctuation 15
 
2.4%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 40
11.2%
양 35
 
9.8%
전 25
 
7.0%
남 25
 
7.0%
도 25
 
7.0%
시 25
 
7.0%
라 25
 
7.0%
중 24
 
6.7%
로 22
 
6.2%
층 19
 
5.3%
Other values (35) 92
25.8%
Decimal Number
ValueCountFrequency (%)
1 21
25.3%
2 21
25.3%
6 7
 
8.4%
3 7
 
8.4%
7 7
 
8.4%
5 5
 
6.0%
8 5
 
6.0%
4 4
 
4.8%
0 3
 
3.6%
9 3
 
3.6%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
58.1%
Common 257
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 40
11.2%
양 35
 
9.8%
전 25
 
7.0%
남 25
 
7.0%
도 25
 
7.0%
시 25
 
7.0%
라 25
 
7.0%
중 24
 
6.7%
로 22
 
6.2%
층 19
 
5.3%
Other values (35) 92
25.8%
Common
ValueCountFrequency (%)
120
46.7%
, 21
 
8.2%
1 21
 
8.2%
2 21
 
8.2%
) 15
 
5.8%
( 15
 
5.8%
6 7
 
2.7%
3 7
 
2.7%
7 7
 
2.7%
5 5
 
1.9%
Other values (5) 18
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
58.1%
ASCII 257
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
46.7%
, 21
 
8.2%
1 21
 
8.2%
2 21
 
8.2%
) 15
 
5.8%
( 15
 
5.8%
6 7
 
2.7%
3 7
 
2.7%
7 7
 
2.7%
5 5
 
1.9%
Other values (5) 18
 
7.0%
Hangul
ValueCountFrequency (%)
광 40
11.2%
양 35
 
9.8%
전 25
 
7.0%
남 25
 
7.0%
도 25
 
7.0%
시 25
 
7.0%
라 25
 
7.0%
중 24
 
6.7%
로 22
 
6.2%
층 19
 
5.3%
Other values (35) 92
25.8%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T07:25:54.877211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row061-763-6675
2nd row061-794-3336
3rd row061-794-5938
4th row061-762-2022
5th row061-792-7744
ValueCountFrequency (%)
061-763-6675 1
 
4.0%
061-792-7975 1
 
4.0%
061-794-7512 1
 
4.0%
061-761-8275 1
 
4.0%
061-913-1075 1
 
4.0%
061-799-1000 1
 
4.0%
061-763-8882 1
 
4.0%
061-795-0175 1
 
4.0%
061-792-1066 1
 
4.0%
061-795-7755 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T07:25:55.148100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.7%
7 48
16.0%
6 43
14.3%
1 39
13.0%
0 38
12.7%
9 22
7.3%
5 18
 
6.0%
2 16
 
5.3%
3 9
 
3.0%
8 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 48
19.2%
6 43
17.2%
1 39
15.6%
0 38
15.2%
9 22
8.8%
5 18
 
7.2%
2 16
 
6.4%
3 9
 
3.6%
8 9
 
3.6%
4 8
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.7%
7 48
16.0%
6 43
14.3%
1 39
13.0%
0 38
12.7%
9 22
7.3%
5 18
 
6.0%
2 16
 
5.3%
3 9
 
3.0%
8 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.7%
7 48
16.0%
6 43
14.3%
1 39
13.0%
0 38
12.7%
9 22
7.3%
5 18
 
6.0%
2 16
 
5.3%
3 9
 
3.0%
8 9
 
3.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2022-03-02
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-03-02
2nd row2022-03-02
3rd row2022-03-02
4th row2022-03-02
5th row2022-03-02

Common Values

ValueCountFrequency (%)
2022-03-02 25
100.0%

Length

2023-12-13T07:25:55.261768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:25:55.340013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-03-02 25
100.0%

Interactions

2023-12-13T07:25:53.377221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:25:55.387805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료시설명소재지전화번호
연번1.0001.0001.0001.000
의료시설명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T07:25:53.482788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:25:53.556937image/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

연번의료시설명소재지전화번호데이터기준일자
01광양광동한의원전라남도 광양시 광양읍 신재로 42, 1층061-763-66752022-03-02
12보명당한의원전라남도 광양시 중마로 174, 2층 (중동)061-794-33362022-03-02
23우리들한의원전라남도 광양시 중마중앙로 56 (중동)061-794-59382022-03-02
34시민한의원전라남도 광양시 광양읍 읍내중앙길 17061-762-20222022-03-02
45경희한의원전라남도 광양시 중마중앙로 89, 1층 (중동)061-792-77442022-03-02
56홍한의원전라남도 광양시 중마로 223-1, 1층 (중동)061-793-26752022-03-02
67동의보감한의원전라남도 광양시 중마로 231, 2층 (중동)061-791-82752022-03-02
78들풀한의원전라남도 광양시 광양읍 칠성로 60-1, 1층061-763-71752022-03-02
89금산한의원전라남도 광양시 옥곡면 옥진로 671061-772-75792022-03-02
910조은한의원전라남도 광양시 중마중앙로 87, 2층 (중동)061-794-98772022-03-02
연번의료시설명소재지전화번호데이터기준일자
1516서울경희한의원전라남도 광양시 광양읍 칠성로 56, 1층061-761-00262022-03-02
1617표준한의원전라남도 광양시 중마로 183, 2층 (중동)061-795-77552022-03-02
1718햇살한의원전라남도 광양시 광장로 130, 2층 (중동)061-792-10662022-03-02
1819해승한의원전라남도 광양시 광영로 125, 2층 (광영동)061-795-01752022-03-02
1920경희튼튼한의원전라남도 광양시 광양읍 칠성로 45, 3층061-763-88822022-03-02
2021백운한의원전라남도 광양시 폭포사랑길 99, 2층 (금호동, 백운쇼핑센터)061-799-10002022-03-02
2122중화부부한의원전라남도 광양시 광양읍 용강로 18, 2층061-913-10752022-03-02
2223광양한의원전라남도 광양시 광양읍 신재로 18, 3층061-761-82752022-03-02
2324평강한의원전라남도 광양시 중마중앙로 132-1(중동)061-794-75122022-03-02
2425서명진광양한의원전라남도 광양시 광양읍 신재로 15061-762-10752022-03-02