Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory900.0 B
Average record size in memory37.5 B

Variable types

Categorical1
Text3

Dataset

Description위 데이터는 전라남도 함평군 관내 교육기관현황으로 전라남도 함평군 내 교육기관의 기관명, 주소, 연락처 정보를 제공합니다.
Author전라남도 함평군
URLhttps://www.data.go.kr/data/3073941/fileData.do

Alerts

구분 has constant value ""Constant
기관명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:15:07.664503
Analysis finished2023-12-12 15:15:07.948929
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
학교
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학교 24
100.0%

Length

2023-12-13T00:15:08.007253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:08.095538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 24
100.0%

기관명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T00:15:08.248110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.9166667
Min length5

Characters and Unicode

Total characters166
Distinct characters42
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

Unique24 ?
Unique (%)100.0%

Sample

1st row함평초등학교
2nd row기산초등학교
3rd row손불초등학교
4th row손불서초등학교
5th row신광초등학교
ValueCountFrequency (%)
함평초등학교 1
 
4.2%
기산초등학교 1
 
4.2%
함평고등학교 1
 
4.2%
함평학다리고등학교 1
 
4.2%
함평골프고등학교 1
 
4.2%
전남보건고등학교 1
 
4.2%
월광기독학교 1
 
4.2%
나산실용예술중학교 1
 
4.2%
함평해보중학교 1
 
4.2%
함평신광중학교 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T00:15:08.681219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 26
15.7%
교 25
15.1%
등 15
 
9.0%
함 11
 
6.6%
평 11
 
6.6%
초 11
 
6.6%
중 8
 
4.8%
고 4
 
2.4%
월 3
 
1.8%
산 3
 
1.8%
Other values (32) 49
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
98.8%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 26
15.9%
교 25
15.2%
등 15
 
9.1%
함 11
 
6.7%
평 11
 
6.7%
초 11
 
6.7%
중 8
 
4.9%
고 4
 
2.4%
월 3
 
1.8%
산 3
 
1.8%
Other values (31) 47
28.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
98.8%
Common 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 26
15.9%
교 25
15.2%
등 15
 
9.1%
함 11
 
6.7%
평 11
 
6.7%
초 11
 
6.7%
중 8
 
4.9%
고 4
 
2.4%
월 3
 
1.8%
산 3
 
1.8%
Other values (31) 47
28.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
98.8%
ASCII 2
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 26
15.9%
교 25
15.2%
등 15
 
9.1%
함 11
 
6.7%
평 11
 
6.7%
초 11
 
6.7%
중 8
 
4.9%
고 4
 
2.4%
월 3
 
1.8%
산 3
 
1.8%
Other values (31) 47
28.7%
ASCII
ValueCountFrequency (%)
2
100.0%

주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T00:15:08.899018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.375
Min length19

Characters and Unicode

Total characters513
Distinct characters59
Distinct categories4 ?
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 (%)91.7%

Sample

1st row전라남도 함평군 함평읍 내대화길 77
2nd row전라남도 함평군 함평읍 기산길 63
3rd row전라남도 함평군 손불면 손불중앙길 121
4th row전라남도 함평군 손불면 양재길 15
5th row전라남도 함평군 신광면 신광중앙길 118
ValueCountFrequency (%)
전라남도 24
20.0%
함평군 24
20.0%
함평읍 8
 
6.7%
영수길 3
 
2.5%
55 3
 
2.5%
월야면 3
 
2.5%
손불면 3
 
2.5%
함장로 3
 
2.5%
35 2
 
1.7%
문화로 2
 
1.7%
Other values (39) 45
37.5%
2023-12-13T00:15:09.304878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
21.2%
함 36
 
7.0%
평 32
 
6.2%
전 24
 
4.7%
남 24
 
4.7%
도 24
 
4.7%
군 24
 
4.7%
라 24
 
4.7%
면 16
 
3.1%
길 15
 
2.9%
Other values (49) 185
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
62.4%
Space Separator 109
 
21.2%
Decimal Number 75
 
14.6%
Dash Punctuation 9
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 36
 
11.2%
평 32
 
10.0%
전 24
 
7.5%
남 24
 
7.5%
도 24
 
7.5%
군 24
 
7.5%
라 24
 
7.5%
면 16
 
5.0%
길 15
 
4.7%
로 9
 
2.8%
Other values (37) 92
28.7%
Decimal Number
ValueCountFrequency (%)
5 15
20.0%
1 14
18.7%
3 7
9.3%
8 7
9.3%
7 6
 
8.0%
2 6
 
8.0%
6 6
 
8.0%
9 5
 
6.7%
4 5
 
6.7%
0 4
 
5.3%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
62.4%
Common 193
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 36
 
11.2%
평 32
 
10.0%
전 24
 
7.5%
남 24
 
7.5%
도 24
 
7.5%
군 24
 
7.5%
라 24
 
7.5%
면 16
 
5.0%
길 15
 
4.7%
로 9
 
2.8%
Other values (37) 92
28.7%
Common
ValueCountFrequency (%)
109
56.5%
5 15
 
7.8%
1 14
 
7.3%
- 9
 
4.7%
3 7
 
3.6%
8 7
 
3.6%
7 6
 
3.1%
2 6
 
3.1%
6 6
 
3.1%
9 5
 
2.6%
Other values (2) 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
62.4%
ASCII 193
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
56.5%
5 15
 
7.8%
1 14
 
7.3%
- 9
 
4.7%
3 7
 
3.6%
8 7
 
3.6%
7 6
 
3.1%
2 6
 
3.1%
6 6
 
3.1%
9 5
 
2.6%
Other values (2) 9
 
4.7%
Hangul
ValueCountFrequency (%)
함 36
 
11.2%
평 32
 
10.0%
전 24
 
7.5%
남 24
 
7.5%
도 24
 
7.5%
군 24
 
7.5%
라 24
 
7.5%
면 16
 
5.0%
길 15
 
4.7%
로 9
 
2.8%
Other values (37) 92
28.7%

연락처
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T00:15:09.559143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row061-322-2612
2nd row061-322-2692
3rd row061-323-4014
4th row061-324-4249
5th row061-322-5007
ValueCountFrequency (%)
061-322-2612 1
 
4.2%
061-322-2692 1
 
4.2%
061-323-6010 1
 
4.2%
061-322-7900 1
 
4.2%
061-324-9902 1
 
4.2%
061-323-8363 1
 
4.2%
061-895-0003 1
 
4.2%
061-324-2311 1
 
4.2%
061-323-0116 1
 
4.2%
061-322-5928 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T00:15:09.985007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.7%
0 45
15.6%
2 41
14.2%
1 40
13.9%
3 39
13.5%
6 33
11.5%
9 10
 
3.5%
5 10
 
3.5%
4 9
 
3.1%
8 9
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
18.8%
2 41
17.1%
1 40
16.7%
3 39
16.2%
6 33
13.8%
9 10
 
4.2%
5 10
 
4.2%
4 9
 
3.8%
8 9
 
3.8%
7 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.7%
0 45
15.6%
2 41
14.2%
1 40
13.9%
3 39
13.5%
6 33
11.5%
9 10
 
3.5%
5 10
 
3.5%
4 9
 
3.1%
8 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.7%
0 45
15.6%
2 41
14.2%
1 40
13.9%
3 39
13.5%
6 33
11.5%
9 10
 
3.5%
5 10
 
3.5%
4 9
 
3.1%
8 9
 
3.1%

Correlations

2023-12-13T00:15:10.148250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명주소연락처
기관명1.0001.0001.000
주소1.0001.0001.000
연락처1.0001.0001.000

Missing values

2023-12-13T00:15:07.826539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:15:07.913563image/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

구분기관명주소연락처
0학교함평초등학교전라남도 함평군 함평읍 내대화길 77061-322-2612
1학교기산초등학교전라남도 함평군 함평읍 기산길 63061-322-2692
2학교손불초등학교전라남도 함평군 손불면 손불중앙길 121061-323-4014
3학교손불서초등학교전라남도 함평군 손불면 양재길 15061-324-4249
4학교신광초등학교전라남도 함평군 신광면 신광중앙길 118061-322-5007
5학교학다리중앙초등학교전라남도 함평군 학교면 백학길 100061-322-6041
6학교엄다초등학교전라남도 함평군 엄다면 엄다길 35061-323-1315
7학교대동향교초등학교전라남도 함평군 대동면 대동길 6-9061-322-2792
8학교나산초등학교전라남도 함평군 나산면 함장로 2441-8061-323-8008
9학교해보초등학교전라남도 함평군 해보면 해삼로 313061-323-5110
구분기관명주소연락처
14학교함평손불중학교전라남도 함평군 손불면 손불중앙길 7-6061-323-4565
15학교함평신광중학교전라남도 함평군 신광면 덕일길 35061-322-5928
16학교함평해보중학교전라남도 함평군 해보면 해삼로 298061-323-0116
17학교나산실용예술중학교전라남도 함평군 나산면 함장로 2441-96061-324-2311
18학교월광기독학교전라남도 함평군 대동면 함장로 1750-37061-895-0003
19학교전남보건고등학교전라남도 함평군 월야면 문화로 685-18061-323-8363
20학교함평골프고등학교전라남도 함평군 함평읍 영수길 55061-324-9902
21학교함평학다리고등학교전라남도 함평군 함평읍 영수길 55061-322-7900
22학교함평고등학교전라남도 함평군 함평읍 함영로 1584-28061-323-6010
23학교함평영화학교전라남도 함평군 함평읍 한나리길 10-25061-323-9889