Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells1
Missing cells (%)0.9%
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 한의원 정보
Author경상남도 밀양시
URLhttps://www.data.go.kr/data/3079247/fileData.do

Alerts

한의원 has constant value ""Constant
351-2143 has 1 (4.3%) missing valuesMissing
1 has unique valuesUnique
경동한의원 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:54:20.219537
Analysis finished2023-12-12 19:54:20.992225
Duration0.77 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
2023-12-13T04:54:21.053364image/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
2023-12-13T04:54:21.188113image/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%

경동한의원
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T04:54:21.412774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3478261
Min length5

Characters and Unicode

Total characters123
Distinct characters45
Distinct categories2 ?
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 row동산한의원
2nd row수창한의원
3rd row밀양삼세한의원
4th row광제한의원
5th row무안한의원
ValueCountFrequency (%)
동산한의원 1
 
4.2%
수창한의원 1
 
4.2%
바른수한의원 1
 
4.2%
세종한의원 1
 
4.2%
죽파한의원 1
 
4.2%
한마음한의원 1
 
4.2%
한의원 1
 
4.2%
김남희 1
 
4.2%
대동한의원 1
 
4.2%
지산한의원 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T04:54:21.774994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 24
19.5%
의 23
18.7%
원 23
18.7%
성 3
 
2.4%
산 3
 
2.4%
희 2
 
1.6%
른 2
 
1.6%
제 2
 
1.6%
세 2
 
1.6%
동 2
 
1.6%
Other values (35) 37
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 24
19.7%
의 23
18.9%
원 23
18.9%
성 3
 
2.5%
산 3
 
2.5%
희 2
 
1.6%
른 2
 
1.6%
제 2
 
1.6%
세 2
 
1.6%
동 2
 
1.6%
Other values (34) 36
29.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 24
19.7%
의 23
18.9%
원 23
18.9%
성 3
 
2.5%
산 3
 
2.5%
희 2
 
1.6%
른 2
 
1.6%
제 2
 
1.6%
세 2
 
1.6%
동 2
 
1.6%
Other values (34) 36
29.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 24
19.7%
의 23
18.9%
원 23
18.9%
성 3
 
2.5%
산 3
 
2.5%
희 2
 
1.6%
른 2
 
1.6%
제 2
 
1.6%
세 2
 
1.6%
동 2
 
1.6%
Other values (34) 36
29.5%
ASCII
ValueCountFrequency (%)
1
100.0%

한의원
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 23
100.0%

Length

2023-12-13T04:54:21.897531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:21.989496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 23
100.0%

밀양시 삼랑진읍 천태로 10
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T04:54:22.155457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.565217
Min length12

Characters and Unicode

Total characters381
Distinct characters55
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

Unique21 ?
Unique (%)91.3%

Sample

1st row밀양시 하남읍 수산중앙로 24
2nd row밀양시 하남읍 수산중앙로 25-1
3rd row밀양시 상동면 상동로 556
4th row밀양시 산외면 산외로 723
5th row밀양시 무안면 사명로 514-1
ValueCountFrequency (%)
밀양시 22
28.6%
중앙로 6
 
7.8%
15-9(내이동 2
 
2.6%
하남읍 2
 
2.6%
수산중앙로 2
 
2.6%
북성로2길 2
 
2.6%
백민로 2
 
2.6%
2길 1
 
1.3%
8(삼문동 1
 
1.3%
밀양중3길 1
 
1.3%
Other values (36) 36
46.8%
2023-12-13T04:54:22.518427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
14.2%
밀 24
 
6.3%
양 24
 
6.3%
시 22
 
5.8%
로 19
 
5.0%
동 19
 
5.0%
( 17
 
4.5%
) 17
 
4.5%
2 13
 
3.4%
중 12
 
3.1%
Other values (45) 160
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
58.3%
Decimal Number 64
 
16.8%
Space Separator 54
 
14.2%
Open Punctuation 17
 
4.5%
Close Punctuation 17
 
4.5%
Dash Punctuation 6
 
1.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밀 24
 
10.8%
양 24
 
10.8%
시 22
 
9.9%
로 19
 
8.6%
동 19
 
8.6%
중 12
 
5.4%
내 11
 
5.0%
앙 10
 
4.5%
이 9
 
4.1%
삼 8
 
3.6%
Other values (30) 64
28.8%
Decimal Number
ValueCountFrequency (%)
2 13
20.3%
1 12
18.8%
3 9
14.1%
5 8
12.5%
4 7
10.9%
6 7
10.9%
8 3
 
4.7%
9 2
 
3.1%
7 2
 
3.1%
0 1
 
1.6%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
58.3%
Common 159
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밀 24
 
10.8%
양 24
 
10.8%
시 22
 
9.9%
로 19
 
8.6%
동 19
 
8.6%
중 12
 
5.4%
내 11
 
5.0%
앙 10
 
4.5%
이 9
 
4.1%
삼 8
 
3.6%
Other values (30) 64
28.8%
Common
ValueCountFrequency (%)
54
34.0%
( 17
 
10.7%
) 17
 
10.7%
2 13
 
8.2%
1 12
 
7.5%
3 9
 
5.7%
5 8
 
5.0%
4 7
 
4.4%
6 7
 
4.4%
- 6
 
3.8%
Other values (5) 9
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
58.3%
ASCII 159
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
34.0%
( 17
 
10.7%
) 17
 
10.7%
2 13
 
8.2%
1 12
 
7.5%
3 9
 
5.7%
5 8
 
5.0%
4 7
 
4.4%
6 7
 
4.4%
- 6
 
3.8%
Other values (5) 9
 
5.7%
Hangul
ValueCountFrequency (%)
밀 24
 
10.8%
양 24
 
10.8%
시 22
 
9.9%
로 19
 
8.6%
동 19
 
8.6%
중 12
 
5.4%
내 11
 
5.0%
앙 10
 
4.5%
이 9
 
4.1%
삼 8
 
3.6%
Other values (30) 64
28.8%

351-2143
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2023-12-13T04:54:22.689235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters176
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 row391-2065
2nd row391-7128
3rd row352-2257
4th row352-5036
5th row352-8428
ValueCountFrequency (%)
391-2065 1
 
4.5%
391-7128 1
 
4.5%
352-4545 1
 
4.5%
351-1377 1
 
4.5%
355-2727 1
 
4.5%
351-1275 1
 
4.5%
351-1274 1
 
4.5%
352-7288 1
 
4.5%
356-3690 1
 
4.5%
353-1275 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T04:54:23.011048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 36
20.5%
3 33
18.8%
- 22
12.5%
2 17
9.7%
1 16
9.1%
7 15
8.5%
0 11
 
6.2%
4 8
 
4.5%
9 6
 
3.4%
6 6
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
87.5%
Dash Punctuation 22
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 36
23.4%
3 33
21.4%
2 17
11.0%
1 16
10.4%
7 15
9.7%
0 11
 
7.1%
4 8
 
5.2%
9 6
 
3.9%
6 6
 
3.9%
8 6
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 36
20.5%
3 33
18.8%
- 22
12.5%
2 17
9.7%
1 16
9.1%
7 15
8.5%
0 11
 
6.2%
4 8
 
4.5%
9 6
 
3.4%
6 6
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 36
20.5%
3 33
18.8%
- 22
12.5%
2 17
9.7%
1 16
9.1%
7 15
8.5%
0 11
 
6.2%
4 8
 
4.5%
9 6
 
3.4%
6 6
 
3.4%

Interactions

2023-12-13T04:54:20.425245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:54:23.115623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1경동한의원밀양시 삼랑진읍 천태로 10351-2143
11.0001.0000.8911.000
경동한의원1.0001.0001.0001.000
밀양시 삼랑진읍 천태로 100.8911.0001.0001.000
351-21431.0001.0001.0001.000

Missing values

2023-12-13T04:54:20.855148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:54:20.953767image/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

1경동한의원한의원밀양시 삼랑진읍 천태로 10351-2143
02동산한의원한의원밀양시 하남읍 수산중앙로 24391-2065
13수창한의원한의원밀양시 하남읍 수산중앙로 25-1391-7128
24밀양삼세한의원한의원밀양시 상동면 상동로 556352-2257
35광제한의원한의원밀양시 산외면 산외로 723352-5036
46무안한의원한의원밀양시 무안면 사명로 514-1352-8428
57은성한의원한의원밀양시 중앙로 327(내일동)353-3759
68늘푸른한의원한의원밀양시 석정로 42(내일동)354-5002
79행복한의원한의원밀양시 중앙로 406, 2층(내이동)<NA>
810경희한의원한의원밀양시 북성로2길 15-9(내이동)354-0408
911우리한의원한의원밀양시 중앙로 462(내이동)356-0033
1경동한의원한의원밀양시 삼랑진읍 천태로 10351-2143
1315명제한의원한의원밀양시 중앙로 383(내이동)353-1100
1416공덕한의원한의원밀양시 북성로2길 15-9(내이동)353-1275
1517지산한의원한의원밀양시 밀양중 2길 8(삼문동)356-3690
1618대동한의원한의원밀양시 밀양중3길 4-1(삼문동)352-7288
1719김남희 한의원한의원밀양시 중앙로 256(삼문동)351-1274
1820한마음한의원한의원밀양시 삼문중앙로 14(삼문동)351-1275
1921죽파한의원한의원밀양시 삼문송림길 3(삼문동)355-2727
2022세종한의원한의원밀양시 중앙로 111-1(가곡동)351-1377
2123바른수한의원한의원북성로 16 (내이동)352-4545
2224사랑방한의원한의원밀양시 삼문중앙로23 고은상가 3호353-1755