Overview

Dataset statistics

Number of variables3
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory27.0 B

Variable types

Text3

Dataset

Description2020년 5월 6일 기준 괴산군청 읍면사무소 주소 및 연락처 파일데이터입니다. 더 자세한 사항은 괴산군으로 문의주시기 바랍니다.
Author충청북도 괴산군
URLhttps://www.data.go.kr/data/15013862/fileData.do

Alerts

명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:31:50.602250
Analysis finished2023-12-12 07:31:50.941302
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T16:31:51.132070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.25
Min length3

Characters and Unicode

Total characters275
Distinct characters61
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

Unique44 ?
Unique (%)100.0%

Sample

1st row괴산군청
2nd row괴산읍사무소
3rd row감물면사무소
4th row장연면사무소
5th row연풍면사무소
ValueCountFrequency (%)
괴산군청 1
 
2.3%
괴산읍사무소 1
 
2.3%
외사보건진료소 1
 
2.3%
사리보건지소 1
 
2.3%
소수보건지소 1
 
2.3%
불정보건지소 1
 
2.3%
신기보건진료소 1
 
2.3%
이담보건진료소 1
 
2.3%
방곡보건진료소 1
 
2.3%
신대보건진료소 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T16:31:51.537746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 44
16.0%
건 30
 
10.9%
보 30
 
10.9%
진 17
 
6.2%
료 17
 
6.2%
사 15
 
5.5%
지 13
 
4.7%
무 11
 
4.0%
면 11
 
4.0%
청 5
 
1.8%
Other values (51) 82
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 44
16.0%
건 30
 
10.9%
보 30
 
10.9%
진 17
 
6.2%
료 17
 
6.2%
사 15
 
5.5%
지 13
 
4.7%
무 11
 
4.0%
면 11
 
4.0%
청 5
 
1.8%
Other values (51) 82
29.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 44
16.0%
건 30
 
10.9%
보 30
 
10.9%
진 17
 
6.2%
료 17
 
6.2%
사 15
 
5.5%
지 13
 
4.7%
무 11
 
4.0%
면 11
 
4.0%
청 5
 
1.8%
Other values (51) 82
29.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 44
16.0%
건 30
 
10.9%
보 30
 
10.9%
진 17
 
6.2%
료 17
 
6.2%
사 15
 
5.5%
지 13
 
4.7%
무 11
 
4.0%
면 11
 
4.0%
청 5
 
1.8%
Other values (51) 82
29.8%

도로명주소
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T16:31:51.804734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length16
Min length13

Characters and Unicode

Total characters704
Distinct characters87
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

Unique42 ?
Unique (%)95.5%

Sample

1st row괴산군 괴산읍 임꺽정로 90
2nd row괴산군 괴산읍 읍내로13길 50
3rd row괴산군 괴산읍 충민로신대길 13
4th row괴산군 장연면 미선로오가5길 7
5th row괴산군 연풍면 항교로 71
ValueCountFrequency (%)
괴산군 44
24.7%
괴산읍 7
 
3.9%
청천면 7
 
3.9%
불정면 5
 
2.8%
장연면 4
 
2.2%
사리면 4
 
2.2%
청안면 4
 
2.2%
소수면 3
 
1.7%
임꺽정로 3
 
1.7%
연풍면 3
 
1.7%
Other values (79) 94
52.8%
2023-12-12T16:31:52.218562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
19.0%
산 55
 
7.8%
괴 54
 
7.7%
군 44
 
6.2%
면 37
 
5.3%
로 36
 
5.1%
1 25
 
3.6%
2 23
 
3.3%
길 20
 
2.8%
5 17
 
2.4%
Other values (77) 259
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
62.5%
Space Separator 134
 
19.0%
Decimal Number 123
 
17.5%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 55
 
12.5%
괴 54
 
12.3%
군 44
 
10.0%
면 37
 
8.4%
로 36
 
8.2%
길 20
 
4.5%
청 13
 
3.0%
읍 10
 
2.3%
정 9
 
2.0%
천 8
 
1.8%
Other values (65) 154
35.0%
Decimal Number
ValueCountFrequency (%)
1 25
20.3%
2 23
18.7%
5 17
13.8%
3 15
12.2%
4 9
 
7.3%
6 9
 
7.3%
7 9
 
7.3%
9 8
 
6.5%
0 6
 
4.9%
8 2
 
1.6%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
62.5%
Common 264
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 55
 
12.5%
괴 54
 
12.3%
군 44
 
10.0%
면 37
 
8.4%
로 36
 
8.2%
길 20
 
4.5%
청 13
 
3.0%
읍 10
 
2.3%
정 9
 
2.0%
천 8
 
1.8%
Other values (65) 154
35.0%
Common
ValueCountFrequency (%)
134
50.8%
1 25
 
9.5%
2 23
 
8.7%
5 17
 
6.4%
3 15
 
5.7%
4 9
 
3.4%
6 9
 
3.4%
7 9
 
3.4%
9 8
 
3.0%
- 7
 
2.7%
Other values (2) 8
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
62.5%
ASCII 264
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
50.8%
1 25
 
9.5%
2 23
 
8.7%
5 17
 
6.4%
3 15
 
5.7%
4 9
 
3.4%
6 9
 
3.4%
7 9
 
3.4%
9 8
 
3.0%
- 7
 
2.7%
Other values (2) 8
 
3.0%
Hangul
ValueCountFrequency (%)
산 55
 
12.5%
괴 54
 
12.3%
군 44
 
10.0%
면 37
 
8.4%
로 36
 
8.2%
길 20
 
4.5%
청 13
 
3.0%
읍 10
 
2.3%
정 9
 
2.0%
천 8
 
1.8%
Other values (65) 154
35.0%

연 락 처
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T16:31:52.445495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique42 ?
Unique (%)95.5%

Sample

1st row043-830-3114
2nd row043-830-2981
3rd row043-830-2982
4th row043-830-2983
5th row043-830-2984
ValueCountFrequency (%)
043-830-3114 2
 
4.5%
043-832-9302 1
 
2.3%
043-832-8302 1
 
2.3%
043-833-7305 1
 
2.3%
043-832-3716 1
 
2.3%
043-833-7184 1
 
2.3%
043-832-7304 1
 
2.3%
043-832-6281 1
 
2.3%
043-833-5458 1
 
2.3%
043-832-5836 1
 
2.3%
Other values (33) 33
75.0%
2023-12-12T16:31:52.793042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 130
24.6%
- 88
16.7%
0 74
14.0%
8 64
12.1%
4 60
11.4%
2 35
 
6.6%
9 27
 
5.1%
1 14
 
2.7%
5 12
 
2.3%
6 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 130
29.5%
0 74
16.8%
8 64
14.5%
4 60
13.6%
2 35
 
8.0%
9 27
 
6.1%
1 14
 
3.2%
5 12
 
2.7%
6 12
 
2.7%
7 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 130
24.6%
- 88
16.7%
0 74
14.0%
8 64
12.1%
4 60
11.4%
2 35
 
6.6%
9 27
 
5.1%
1 14
 
2.7%
5 12
 
2.3%
6 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 130
24.6%
- 88
16.7%
0 74
14.0%
8 64
12.1%
4 60
11.4%
2 35
 
6.6%
9 27
 
5.1%
1 14
 
2.7%
5 12
 
2.3%
6 12
 
2.3%

Correlations

2023-12-12T16:31:52.935703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭도로명주소연 락 처
명칭1.0001.0001.000
도로명주소1.0001.0001.000
연 락 처1.0001.0001.000

Missing values

2023-12-12T16:31:50.803137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:31:50.900014image/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

명칭도로명주소연 락 처
0괴산군청괴산군 괴산읍 임꺽정로 90043-830-3114
1괴산읍사무소괴산군 괴산읍 읍내로13길 50043-830-2981
2감물면사무소괴산군 괴산읍 충민로신대길 13043-830-2982
3장연면사무소괴산군 장연면 미선로오가5길 7043-830-2983
4연풍면사무소괴산군 연풍면 항교로 71043-830-2984
5칠성면사무소괴산군 칠성면 도정로 61043-830-2985
6문광면사무소괴산군 문광면 광덕길 27043-830-2986
7청천면사무소괴산군 청천면 괴산로 1342-1043-830-2987
8사리면사무소괴산군 사리면 사리로 242043-830-2988
9청안면사무소괴산군 청안면 청안읍내로2길 7043-830-2989
명칭도로명주소연 락 처
34대후보건진료소괴산군 청천면 대티길 290043-832-4679
35덕평보건진료소괴산군 청천면 송문로덕평길 23043-833-6166
36신월보건진료소괴산군 청천면 괴산로 신월3길 5043-833-1092
37운곡보건진료소괴산군 청안면 질마로 902-5043-832-9745
38중흥보건진료소괴산군 사리면 중흥로4길 16-2043-836-7269
39강천보건진료소괴산군 사리면 모래재로 921043-833-3583
40몽촌보건진료소괴산군 소수면 원소로몽촌1길 9043-832-8384
41삼방보건진료소괴산군 불정면 쇠실로 285043-833-4137
42추산보건진료소괴산군 불정면 동추산1길 12043-833-4133
43세평보건진료소괴산군 불정면 관동로세평4길 13043-833-7293