Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description밀양시 관내 치과 정보
Author경상남도 밀양시
URLhttps://www.data.go.kr/data/3079248/fileData.do

Alerts

치과의원 has constant value ""Constant
1 has unique valuesUnique
미소치과의원 has unique valuesUnique
밀양시 삼랑진읍 삼랑진로 212-1 has unique valuesUnique
352-2324 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:27:38.285358
Analysis finished2023-12-12 10:27:38.742641
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum2
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:27:38.804696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.1
Q17.5
median13
Q318.5
95-th percentile22.9
Maximum24
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.52171769
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum299
Variance46
MonotonicityStrictly increasing
2023-12-12T19:27:38.944088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 1
 
4.3%
3 1
 
4.3%
24 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
11 1
4.3%
ValueCountFrequency (%)
24 1
4.3%
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%

미소치과의원
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:27:39.134324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.1304348
Min length4

Characters and Unicode

Total characters141
Distinct characters43
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row수산미치과의원
2nd row수산박치과 의원
3rd row무안치과
4th row밀양치과의원
5th row남산치과의원
ValueCountFrequency (%)
의원 4
 
14.8%
수산미치과의원 1
 
3.7%
이레치과의원 1
 
3.7%
이조은치과 1
 
3.7%
예림석치과의원 1
 
3.7%
동향치과 1
 
3.7%
e편한치과의원 1
 
3.7%
미치과의원 1
 
3.7%
형제치과의원 1
 
3.7%
미르치과의원 1
 
3.7%
Other values (14) 14
51.9%
2023-12-12T19:27:39.575511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 23
16.3%
과 23
16.3%
의 20
14.2%
원 20
14.2%
4
 
2.8%
미 3
 
2.1%
이 3
 
2.1%
산 3
 
2.1%
수 2
 
1.4%
형 2
 
1.4%
Other values (33) 38
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
96.5%
Space Separator 4
 
2.8%
Lowercase Letter 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 23
16.9%
과 23
16.9%
의 20
14.7%
원 20
14.7%
미 3
 
2.2%
이 3
 
2.2%
산 3
 
2.2%
수 2
 
1.5%
형 2
 
1.5%
조 2
 
1.5%
Other values (31) 35
25.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
96.5%
Common 4
 
2.8%
Latin 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 23
16.9%
과 23
16.9%
의 20
14.7%
원 20
14.7%
미 3
 
2.2%
이 3
 
2.2%
산 3
 
2.2%
수 2
 
1.5%
형 2
 
1.5%
조 2
 
1.5%
Other values (31) 35
25.7%
Common
ValueCountFrequency (%)
4
100.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
96.5%
ASCII 5
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 23
16.9%
과 23
16.9%
의 20
14.7%
원 20
14.7%
미 3
 
2.2%
이 3
 
2.2%
산 3
 
2.2%
수 2
 
1.5%
형 2
 
1.5%
조 2
 
1.5%
Other values (31) 35
25.7%
ASCII
ValueCountFrequency (%)
4
80.0%
e 1
 
20.0%

치과의원
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
치과의원
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치과의원 23
100.0%

Length

2023-12-12T19:27:39.711843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:39.840617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과의원 23
100.0%

밀양시 삼랑진읍 삼랑진로 212-1
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:27:40.035172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length17.73913
Min length14

Characters and Unicode

Total characters408
Distinct characters59
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

Unique23 ?
Unique (%)100.0%

Sample

1st row밀양시 하남읍 수산중앙로 43
2nd row밀양시 하남읍 수산중앙로 22
3rd row밀양시 무안면 사명로 504-1
4th row밀양시 내일상가2길 8(내일동)
5th row밀양시 석정로 15-1(내일동)
ValueCountFrequency (%)
밀양시 21
28.8%
중앙로 5
 
6.8%
석정로 3
 
4.1%
하남읍 2
 
2.7%
북성로 2
 
2.7%
삼문중앙로 2
 
2.7%
수산중앙로 2
 
2.7%
예림리 1
 
1.4%
상남면 1
 
1.4%
4(삼문동 1
 
1.4%
Other values (33) 33
45.2%
2023-12-12T19:27:40.370487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
12.3%
밀 23
 
5.6%
양 23
 
5.6%
시 21
 
5.1%
로 20
 
4.9%
동 19
 
4.7%
1 19
 
4.7%
) 19
 
4.7%
( 19
 
4.7%
내 12
 
2.9%
Other values (49) 183
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
56.4%
Decimal Number 74
 
18.1%
Space Separator 50
 
12.3%
Close Punctuation 19
 
4.7%
Open Punctuation 19
 
4.7%
Dash Punctuation 9
 
2.2%
Other Punctuation 7
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밀 23
 
10.0%
양 23
 
10.0%
시 21
 
9.1%
로 20
 
8.7%
동 19
 
8.3%
내 12
 
5.2%
중 11
 
4.8%
삼 10
 
4.3%
앙 10
 
4.3%
문 10
 
4.3%
Other values (34) 71
30.9%
Decimal Number
ValueCountFrequency (%)
1 19
25.7%
4 11
14.9%
2 11
14.9%
3 9
12.2%
5 9
12.2%
7 5
 
6.8%
9 4
 
5.4%
8 3
 
4.1%
0 2
 
2.7%
6 1
 
1.4%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
56.4%
Common 178
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밀 23
 
10.0%
양 23
 
10.0%
시 21
 
9.1%
로 20
 
8.7%
동 19
 
8.3%
내 12
 
5.2%
중 11
 
4.8%
삼 10
 
4.3%
앙 10
 
4.3%
문 10
 
4.3%
Other values (34) 71
30.9%
Common
ValueCountFrequency (%)
50
28.1%
1 19
 
10.7%
) 19
 
10.7%
( 19
 
10.7%
4 11
 
6.2%
2 11
 
6.2%
3 9
 
5.1%
5 9
 
5.1%
- 9
 
5.1%
, 7
 
3.9%
Other values (5) 15
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
56.4%
ASCII 178
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
28.1%
1 19
 
10.7%
) 19
 
10.7%
( 19
 
10.7%
4 11
 
6.2%
2 11
 
6.2%
3 9
 
5.1%
5 9
 
5.1%
- 9
 
5.1%
, 7
 
3.9%
Other values (5) 15
 
8.4%
Hangul
ValueCountFrequency (%)
밀 23
 
10.0%
양 23
 
10.0%
시 21
 
9.1%
로 20
 
8.7%
동 19
 
8.3%
내 12
 
5.2%
중 11
 
4.8%
삼 10
 
4.3%
앙 10
 
4.3%
문 10
 
4.3%
Other values (34) 71
30.9%

352-2324
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:27:40.566417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters184
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

Unique23 ?
Unique (%)100.0%

Sample

1st row391-2891
2nd row391-2038
3rd row351-1595
4th row354-2360
5th row354-2223
ValueCountFrequency (%)
391-2891 1
 
4.3%
353-8822 1
 
4.3%
351-2875 1
 
4.3%
355-7522 1
 
4.3%
355-7761 1
 
4.3%
351-2101 1
 
4.3%
353-9599 1
 
4.3%
351-2754 1
 
4.3%
355-0275 1
 
4.3%
355-2875 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T19:27:40.858532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 40
21.7%
3 32
17.4%
2 25
13.6%
- 23
12.5%
9 11
 
6.0%
1 11
 
6.0%
7 11
 
6.0%
4 10
 
5.4%
8 9
 
4.9%
0 8
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
87.5%
Dash Punctuation 23
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 40
24.8%
3 32
19.9%
2 25
15.5%
9 11
 
6.8%
1 11
 
6.8%
7 11
 
6.8%
4 10
 
6.2%
8 9
 
5.6%
0 8
 
5.0%
6 4
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 40
21.7%
3 32
17.4%
2 25
13.6%
- 23
12.5%
9 11
 
6.0%
1 11
 
6.0%
7 11
 
6.0%
4 10
 
5.4%
8 9
 
4.9%
0 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 40
21.7%
3 32
17.4%
2 25
13.6%
- 23
12.5%
9 11
 
6.0%
1 11
 
6.0%
7 11
 
6.0%
4 10
 
5.4%
8 9
 
4.9%
0 8
 
4.3%

Interactions

2023-12-12T19:27:38.456071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:27:40.949862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1미소치과의원밀양시 삼랑진읍 삼랑진로 212-1352-2324
11.0001.0001.0001.000
미소치과의원1.0001.0001.0001.000
밀양시 삼랑진읍 삼랑진로 212-11.0001.0001.0001.000
352-23241.0001.0001.0001.000

Missing values

2023-12-12T19:27:38.582482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:27:38.692883image/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

1미소치과의원치과의원밀양시 삼랑진읍 삼랑진로 212-1352-2324
02수산미치과의원치과의원밀양시 하남읍 수산중앙로 43391-2891
13수산박치과 의원치과의원밀양시 하남읍 수산중앙로 22391-2038
24무안치과치과의원밀양시 무안면 사명로 504-1351-1595
35밀양치과의원치과의원밀양시 내일상가2길 8(내일동)354-2360
46남산치과의원치과의원밀양시 석정로 15-1(내일동)354-2223
57손치과의원치과의원밀양시 남천강변로 41(내일동)352-3034
68박기형치과의원치과의원밀양시 석정로 7(내일동)354-2799
79탄탄치과 의원치과의원밀양시 석정로 7-1(내일동)352-5742
810우리치과의원치과의원밀양시 북성로 11-8(내이동)353-0828
911보스톤치과의원치과의원밀양시 중앙로 413,201호(내이동)356-7528
1미소치과의원치과의원밀양시 삼랑진읍 삼랑진로 212-1352-2324
1315김치과 의원치과의원밀양시 밀양중3길 4(삼문동)356-5204
1416바른이치과의원치과의원밀양시 중앙로 295-1(삼문동)355-2875
1517미르치과의원치과의원밀양시 밀양대로 1855, 3층(삼문동)355-0275
1618형제치과의원치과의원밀양시 미리벌중앙로 75,2층(삼문동)351-2754
1719미치과의원치과의원밀양시 삼문중앙로 49,5층(삼문동)353-9599
1820e편한치과의원치과의원밀양시 삼문강변로 344-6,4층(삼문동)351-2101
1921동향치과 의원치과의원밀양시 중앙로 119-1(가곡동)355-7761
2022예림석치과의원치과의원상남면 예림리 1137번지 2층355-7522
2123이조은치과치과의원중앙로 452,2층(내이동)351-2875
2224조은치과치과의원밀양시 북성로 11-2(내이동)355-7925