Overview

Dataset statistics

Number of variables6
Number of observations275
Missing cells285
Missing cells (%)17.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory49.5 B

Variable types

Categorical1
Text4
Unsupported1

Dataset

Description전라남도 구례군의 마을에 위치한 경로당에 대한 데이터로 2015년 기준의 마을별 경로당명, 소재지, 전화번호를 제공합니다.
Author전라남도 구례군
URLhttps://www.data.go.kr/data/15045230/fileData.do

Alerts

전화번호 has 10 (3.6%) missing valuesMissing
비고 has 275 (100.0%) missing valuesMissing
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 19:47:32.984223
Analysis finished2023-12-12 19:47:33.578152
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
산동면
48 
구례읍
47 
토지면
42 
광의면
38 
간전면
32 
Other values (4)
68 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
산동면 48
17.5%
구례읍 47
17.1%
토지면 42
15.3%
광의면 38
13.8%
간전면 32
11.6%
용방면 31
11.3%
문척면 18
 
6.5%
마산면 18
 
6.5%
간점면 1
 
0.4%

Length

2023-12-13T04:47:33.674490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:47:33.856762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산동면 48
17.5%
구례읍 47
17.1%
토지면 42
15.3%
광의면 38
13.8%
간전면 32
11.6%
용방면 31
11.3%
문척면 18
 
6.5%
마산면 18
 
6.5%
간점면 1
 
0.4%

마을명
Text

Distinct144
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T04:47:34.350142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.0109091
Min length1

Characters and Unicode

Total characters553
Distinct characters106
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

Unique46 ?
Unique (%)16.7%

Sample

1st row독자
2nd row독자
3rd row유곡
4th row유곡
5th row유곡
ValueCountFrequency (%)
구만 6
 
2.2%
봉북 5
 
1.8%
봉남 5
 
1.8%
봉동 5
 
1.8%
신기 4
 
1.5%
백련 4
 
1.5%
송정 4
 
1.5%
문수 3
 
1.1%
마산 3
 
1.1%
유곡 3
 
1.1%
Other values (134) 233
84.7%
2023-12-13T04:47:35.004533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 29
 
5.2%
봉 23
 
4.2%
산 22
 
4.0%
하 19
 
3.4%
천 18
 
3.3%
촌 17
 
3.1%
평 16
 
2.9%
대 16
 
2.9%
정 14
 
2.5%
상 13
 
2.4%
Other values (96) 366
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
 
5.2%
봉 23
 
4.2%
산 22
 
4.0%
하 19
 
3.4%
천 18
 
3.3%
촌 17
 
3.1%
평 16
 
2.9%
대 16
 
2.9%
정 14
 
2.5%
상 13
 
2.4%
Other values (96) 366
66.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
 
5.2%
봉 23
 
4.2%
산 22
 
4.0%
하 19
 
3.4%
천 18
 
3.3%
촌 17
 
3.1%
평 16
 
2.9%
대 16
 
2.9%
정 14
 
2.5%
상 13
 
2.4%
Other values (96) 366
66.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 29
 
5.2%
봉 23
 
4.2%
산 22
 
4.0%
하 19
 
3.4%
천 18
 
3.3%
촌 17
 
3.1%
평 16
 
2.9%
대 16
 
2.9%
정 14
 
2.5%
상 13
 
2.4%
Other values (96) 366
66.2%

경로당명
Text

Distinct267
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T04:47:35.282488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.1345455
Min length5

Characters and Unicode

Total characters1687
Distinct characters124
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

Unique259 ?
Unique (%)94.2%

Sample

1st row독자경로당
2nd row독자여성경로당
3rd row상유경로당
4th row유곡경로당
5th row중유경로당
ValueCountFrequency (%)
구만남성경로당 2
 
0.7%
송정여성경로당 2
 
0.7%
대촌여성경로당 2
 
0.7%
신기여성경로당 2
 
0.7%
산정경로당 2
 
0.7%
하신경로당 2
 
0.7%
신촌경로당 2
 
0.7%
구만여성경로당 2
 
0.7%
방광여성경로당 1
 
0.4%
수한남성경로당 1
 
0.4%
Other values (257) 257
93.5%
2023-12-13T04:47:35.665765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 283
16.8%
경 275
16.3%
로 275
16.3%
성 140
 
8.3%
여 100
 
5.9%
남 46
 
2.7%
동 27
 
1.6%
산 23
 
1.4%
촌 18
 
1.1%
대 18
 
1.1%
Other values (114) 482
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1685
99.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 283
16.8%
경 275
16.3%
로 275
16.3%
성 140
 
8.3%
여 100
 
5.9%
남 46
 
2.7%
동 27
 
1.6%
산 23
 
1.4%
촌 18
 
1.1%
대 18
 
1.1%
Other values (113) 480
28.5%
Other Punctuation
ValueCountFrequency (%)
@ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1685
99.9%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 283
16.8%
경 275
16.3%
로 275
16.3%
성 140
 
8.3%
여 100
 
5.9%
남 46
 
2.7%
동 27
 
1.6%
산 23
 
1.4%
촌 18
 
1.1%
대 18
 
1.1%
Other values (113) 480
28.5%
Common
ValueCountFrequency (%)
@ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1685
99.9%
ASCII 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 283
16.8%
경 275
16.3%
로 275
16.3%
성 140
 
8.3%
여 100
 
5.9%
남 46
 
2.7%
동 27
 
1.6%
산 23
 
1.4%
촌 18
 
1.1%
대 18
 
1.1%
Other values (113) 480
28.5%
ASCII
ValueCountFrequency (%)
@ 2
100.0%

소재지
Text

Distinct200
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T04:47:35.969287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.181818
Min length17

Characters and Unicode

Total characters5550
Distinct characters156
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

Unique125 ?
Unique (%)45.5%

Sample

1st row전라남도 구례군 구례읍 독자1길 28
2nd row전라남도 구례군 구례읍 독자1길 28
3rd row전라남도 구례군 구례읍 계산리 655
4th row전라남도 구례군 구례읍 섬진강로 544
5th row전라남도 구례군 구례읍 중유길 68
ValueCountFrequency (%)
전라남도 275
20.0%
구례군 275
20.0%
산동면 48
 
3.5%
구례읍 47
 
3.4%
토지면 42
 
3.1%
광의면 38
 
2.8%
간전면 33
 
2.4%
용방면 31
 
2.3%
마산면 18
 
1.3%
문척면 18
 
1.3%
Other values (316) 549
40.0%
2023-12-13T04:47:36.427489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1104
19.9%
구 340
 
6.1%
례 326
 
5.9%
전 318
 
5.7%
도 280
 
5.0%
남 278
 
5.0%
군 275
 
5.0%
라 275
 
5.0%
길 251
 
4.5%
면 228
 
4.1%
Other values (146) 1875
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3693
66.5%
Space Separator 1104
 
19.9%
Decimal Number 682
 
12.3%
Dash Punctuation 71
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 340
 
9.2%
례 326
 
8.8%
전 318
 
8.6%
도 280
 
7.6%
남 278
 
7.5%
군 275
 
7.4%
라 275
 
7.4%
길 251
 
6.8%
면 228
 
6.2%
산 98
 
2.7%
Other values (134) 1024
27.7%
Decimal Number
ValueCountFrequency (%)
1 157
23.0%
2 125
18.3%
3 74
10.9%
5 69
10.1%
6 62
 
9.1%
4 52
 
7.6%
7 44
 
6.5%
8 36
 
5.3%
9 32
 
4.7%
0 31
 
4.5%
Space Separator
ValueCountFrequency (%)
1104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3693
66.5%
Common 1857
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 340
 
9.2%
례 326
 
8.8%
전 318
 
8.6%
도 280
 
7.6%
남 278
 
7.5%
군 275
 
7.4%
라 275
 
7.4%
길 251
 
6.8%
면 228
 
6.2%
산 98
 
2.7%
Other values (134) 1024
27.7%
Common
ValueCountFrequency (%)
1104
59.5%
1 157
 
8.5%
2 125
 
6.7%
3 74
 
4.0%
- 71
 
3.8%
5 69
 
3.7%
6 62
 
3.3%
4 52
 
2.8%
7 44
 
2.4%
8 36
 
1.9%
Other values (2) 63
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3693
66.5%
ASCII 1857
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1104
59.5%
1 157
 
8.5%
2 125
 
6.7%
3 74
 
4.0%
- 71
 
3.8%
5 69
 
3.7%
6 62
 
3.3%
4 52
 
2.8%
7 44
 
2.4%
8 36
 
1.9%
Other values (2) 63
 
3.4%
Hangul
ValueCountFrequency (%)
구 340
 
9.2%
례 326
 
8.8%
전 318
 
8.6%
도 280
 
7.6%
남 278
 
7.5%
군 275
 
7.4%
라 275
 
7.4%
길 251
 
6.8%
면 228
 
6.2%
산 98
 
2.7%
Other values (134) 1024
27.7%

전화번호
Text

MISSING 

Distinct212
Distinct (%)80.0%
Missing10
Missing (%)3.6%
Memory size2.3 KiB
2023-12-13T04:47:36.694551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3180
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

Unique161 ?
Unique (%)60.8%

Sample

1st row061-782-6775
2nd row061-782-7758
3rd row061-782-0357
4th row061-782-6761
5th row061-782-6765
ValueCountFrequency (%)
061-781-3564 3
 
1.1%
061-781-1737 3
 
1.1%
061-782-4530 2
 
0.8%
061-781-6332 2
 
0.8%
061-782-6453 2
 
0.8%
061-781-4247 2
 
0.8%
061-782-1621 2
 
0.8%
061-782-4244 2
 
0.8%
061-782-4247 2
 
0.8%
061-782-4248 2
 
0.8%
Other values (202) 243
91.7%
2023-12-13T04:47:37.094511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 530
16.7%
1 494
15.5%
6 391
12.3%
0 378
11.9%
8 359
11.3%
7 340
10.7%
2 232
7.3%
3 170
 
5.3%
5 114
 
3.6%
4 101
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2650
83.3%
Dash Punctuation 530
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 494
18.6%
6 391
14.8%
0 378
14.3%
8 359
13.5%
7 340
12.8%
2 232
8.8%
3 170
 
6.4%
5 114
 
4.3%
4 101
 
3.8%
9 71
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 530
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 530
16.7%
1 494
15.5%
6 391
12.3%
0 378
11.9%
8 359
11.3%
7 340
10.7%
2 232
7.3%
3 170
 
5.3%
5 114
 
3.6%
4 101
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 530
16.7%
1 494
15.5%
6 391
12.3%
0 378
11.9%
8 359
11.3%
7 340
10.7%
2 232
7.3%
3 170
 
5.3%
5 114
 
3.6%
4 101
 
3.2%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing275
Missing (%)100.0%
Memory size2.5 KiB

Missing values

2023-12-13T04:47:33.368971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:47:33.513765image/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

읍면마을명경로당명소재지전화번호비고
0구례읍독자독자경로당전라남도 구례군 구례읍 독자1길 28061-782-6775<NA>
1구례읍독자독자여성경로당전라남도 구례군 구례읍 독자1길 28061-782-7758<NA>
2구례읍유곡상유경로당전라남도 구례군 구례읍 계산리 655061-782-0357<NA>
3구례읍유곡유곡경로당전라남도 구례군 구례읍 섬진강로 544061-782-6761<NA>
4구례읍유곡중유경로당전라남도 구례군 구례읍 중유길 68061-782-6765<NA>
5구례읍논곡논곡경로당전라남도 구례군 구례읍 논곡길 96<NA><NA>
6구례읍본황본황경로당전라남도 구례군 구례읍 본황길 62<NA><NA>
7구례읍백련명지@경로당전라남도 구례군 구례읍 동편제길 42061-783-4300<NA>
8구례읍백련명지@여성경로당전라남도 구례군 구례읍 동편제길 42061-783-4546<NA>
9구례읍백련백련경로당전라남도 구례군 구례읍 백련길 22061-782-1639<NA>
읍면마을명경로당명소재지전화번호비고
265산동면하신하신여성경로당전라남도 구례군 산동면 신학하신길 52061-782-9214<NA>
266산동면토치토치경로당전라남도 구례군 산동면 토치1길 13061-782-1735<NA>
267산동면토치토치여성경로당전라남도 구례군 산동면 토치1길 13061-782-7764<NA>
268산동면오향오향경로당전라남도 구례군 산동면 오향길 29061-782-7098<NA>
269산동면이촌이촌경로당전라남도 구례군 산동면 이촌길 6061-782-5708<NA>
270산동면이촌이촌여성경로당전라남도 구례군 산동면 이촌길 6061-782-5708<NA>
271산동면우와우와경로당전라남도 구례군 산동면 우와길 47061-782-7873<NA>
272산동면이사이사경로당전라남도 구례군 산동면 이사길 16061-782-0694<NA>
273산동면둔기둔기경로당전라남도 구례군 산동면 둔기길 107061-782-5880<NA>
274산동면시랑시랑경로당전라남도 구례군 산동면 시랑길 17061-782-6963<NA>