Overview

Dataset statistics

Number of variables2
Number of observations278
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory16.5 B

Variable types

Text2

Dataset

Description전북특별자치도 장수군의 마을마다 구축되어 있는 노인복지시설 중 하나인 경로당 현황(경로당명, 주소)에 대한 데이터 정보를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15007494/fileData.do

Reproduction

Analysis started2024-04-06 08:27:38.340916
Analysis finished2024-04-06 08:27:38.912210
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경로당명
Text

Distinct263
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-06T17:27:39.272287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.7769784
Min length5

Characters and Unicode

Total characters1606
Distinct characters158
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

Unique252 ?
Unique (%)90.6%

Sample

1st row장수읍경로당
2nd row교촌경로당
3rd row교촌할머니 경로당
4th row준비경로당
5th row준비할머니 경로당
ValueCountFrequency (%)
경로당 12
 
4.1%
신기경로당 6
 
2.1%
평지경로당 3
 
1.0%
중동경로당 3
 
1.0%
남동경로당 3
 
1.0%
도장경로당 2
 
0.7%
신촌경로당 2
 
0.7%
신흥경로당 2
 
0.7%
동촌경로당 2
 
0.7%
농원경로당 2
 
0.7%
Other values (249) 253
87.2%
2024-04-06T17:27:40.280206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 280
17.4%
경 278
17.3%
로 278
17.3%
동 48
 
3.0%
할 47
 
2.9%
42
 
2.6%
니 42
 
2.6%
머 42
 
2.6%
신 26
 
1.6%
평 20
 
1.2%
Other values (148) 503
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1562
97.3%
Space Separator 42
 
2.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 280
17.9%
경 278
17.8%
로 278
17.8%
동 48
 
3.1%
할 47
 
3.0%
니 42
 
2.7%
머 42
 
2.7%
신 26
 
1.7%
평 20
 
1.3%
원 18
 
1.2%
Other values (145) 483
30.9%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1562
97.3%
Common 44
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 280
17.9%
경 278
17.8%
로 278
17.8%
동 48
 
3.1%
할 47
 
3.0%
니 42
 
2.7%
머 42
 
2.7%
신 26
 
1.7%
평 20
 
1.3%
원 18
 
1.2%
Other values (145) 483
30.9%
Common
ValueCountFrequency (%)
42
95.5%
( 1
 
2.3%
) 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1562
97.3%
ASCII 44
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 280
17.9%
경 278
17.8%
로 278
17.8%
동 48
 
3.1%
할 47
 
3.0%
니 42
 
2.7%
머 42
 
2.7%
신 26
 
1.7%
평 20
 
1.3%
원 18
 
1.2%
Other values (145) 483
30.9%
ASCII
ValueCountFrequency (%)
42
95.5%
( 1
 
2.3%
) 1
 
2.3%

주소
Text

Distinct238
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-06T17:27:40.663311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length19.561151
Min length17

Characters and Unicode

Total characters5438
Distinct characters178
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)71.2%

Sample

1st row전북특별자치도 장수읍 시장로 17
2nd row전북특별자치도 장수읍 교촌로 55
3rd row전북특별자치도 장수읍 교촌로 55
4th row전북특별자치도 장수읍 호비로 22-9
5th row전북특별자치도 장수읍 호비로 22-9
ValueCountFrequency (%)
전북특별자치도 278
24.8%
장수읍 57
 
5.1%
장계면 46
 
4.1%
산서면 44
 
3.9%
번암면 39
 
3.5%
천천면 34
 
3.0%
계남면 31
 
2.8%
계북면 27
 
2.4%
3 9
 
0.8%
1 7
 
0.6%
Other values (385) 548
48.9%
2024-04-06T17:27:41.422837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
863
15.9%
북 311
 
5.7%
전 283
 
5.2%
도 280
 
5.1%
자 279
 
5.1%
치 279
 
5.1%
특 278
 
5.1%
별 278
 
5.1%
길 228
 
4.2%
면 221
 
4.1%
Other values (168) 2138
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3731
68.6%
Space Separator 863
 
15.9%
Decimal Number 738
 
13.6%
Dash Punctuation 103
 
1.9%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 311
 
8.3%
전 283
 
7.6%
도 280
 
7.5%
자 279
 
7.5%
치 279
 
7.5%
특 278
 
7.5%
별 278
 
7.5%
길 228
 
6.1%
면 221
 
5.9%
장 134
 
3.6%
Other values (155) 1160
31.1%
Decimal Number
ValueCountFrequency (%)
1 186
25.2%
2 108
14.6%
3 79
10.7%
4 72
 
9.8%
5 69
 
9.3%
6 54
 
7.3%
8 49
 
6.6%
7 42
 
5.7%
0 40
 
5.4%
9 39
 
5.3%
Space Separator
ValueCountFrequency (%)
863
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3731
68.6%
Common 1707
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 311
 
8.3%
전 283
 
7.6%
도 280
 
7.5%
자 279
 
7.5%
치 279
 
7.5%
특 278
 
7.5%
별 278
 
7.5%
길 228
 
6.1%
면 221
 
5.9%
장 134
 
3.6%
Other values (155) 1160
31.1%
Common
ValueCountFrequency (%)
863
50.6%
1 186
 
10.9%
2 108
 
6.3%
- 103
 
6.0%
3 79
 
4.6%
4 72
 
4.2%
5 69
 
4.0%
6 54
 
3.2%
8 49
 
2.9%
7 42
 
2.5%
Other values (3) 82
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3731
68.6%
ASCII 1707
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
863
50.6%
1 186
 
10.9%
2 108
 
6.3%
- 103
 
6.0%
3 79
 
4.6%
4 72
 
4.2%
5 69
 
4.0%
6 54
 
3.2%
8 49
 
2.9%
7 42
 
2.5%
Other values (3) 82
 
4.8%
Hangul
ValueCountFrequency (%)
북 311
 
8.3%
전 283
 
7.6%
도 280
 
7.5%
자 279
 
7.5%
치 279
 
7.5%
특 278
 
7.5%
별 278
 
7.5%
길 228
 
6.1%
면 221
 
5.9%
장 134
 
3.6%
Other values (155) 1160
31.1%

Missing values

2024-04-06T17:27:38.694529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:27:38.843310image/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

경로당명주소
0장수읍경로당전북특별자치도 장수읍 시장로 17
1교촌경로당전북특별자치도 장수읍 교촌로 55
2교촌할머니 경로당전북특별자치도 장수읍 교촌로 55
3준비경로당전북특별자치도 장수읍 호비로 22-9
4준비할머니 경로당전북특별자치도 장수읍 호비로 22-9
5남동경로당전북특별자치도 장수읍 논개사당길 3
6남동할머니 경로당전북특별자치도 장수읍 논개사당길 3
7북동경로당전북특별자치도 장수읍 구시장길 16-3
8북동할머니 경로당전북특별자치도 장수읍 구시장길 16-3
9노하경로당전북특별자치도 장수읍 노하2길 7
경로당명주소
268백암할머니경로당전북특별자치도 계북면 백암길 18-4
269파곡경로당전북특별자치도 계북면 파파실안길 1
270외림할아버지경로당전북특별자치도 계북면 외림길 49
271외림할머니경로당전북특별자치도 계북면 외림길 49
272원촌경로당전북특별자치도 계북면 장무로 1328
273을곡경로당전북특별자치도 계북면 계향로 326-13
274양악할아버지경로당전북특별자치도 계북면 양악길 81
275양악할머니경로당전북특별자치도 계북면 양악길 81
276당저경로당전북특별자치도 계북면 당저길 24
277산촌경로당전북특별자치도 계북면 월현로 323-6