Overview

Dataset statistics

Number of variables4
Number of observations451
Missing cells181
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Text3

Dataset

Description전라남도 보성군 경로당 현황에 대한 데이터로 경로당명, 연략처, 소재지 등의 정보를 제공하는 보성군 경로당 데이터 입니다..
Author전라남도 보성군
URLhttps://www.data.go.kr/data/3033563/fileData.do

Alerts

전화번호 has 181 (40.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:15:24.157073
Analysis finished2023-12-12 13:15:24.739906
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct451
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226
Minimum1
Maximum451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T22:15:24.839151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.5
Q1113.5
median226
Q3338.5
95-th percentile428.5
Maximum451
Range450
Interquartile range (IQR)225

Descriptive statistics

Standard deviation130.33674
Coefficient of variation (CV)0.57671125
Kurtosis-1.2
Mean226
Median Absolute Deviation (MAD)113
Skewness0
Sum101926
Variance16987.667
MonotonicityStrictly increasing
2023-12-12T22:15:24.986540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
284 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
307 1
 
0.2%
306 1
 
0.2%
305 1
 
0.2%
304 1
 
0.2%
303 1
 
0.2%
Other values (441) 441
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%
447 1
0.2%
446 1
0.2%
445 1
0.2%
444 1
0.2%
443 1
0.2%
442 1
0.2%

명칭
Text

Distinct425
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T22:15:25.314322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.3503326
Min length5

Characters and Unicode

Total characters2413
Distinct characters219
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique401 ?
Unique (%)88.9%

Sample

1st row보성경로당
2nd row평촌경로당
3rd row두슬경로당
4th row주봉1경로당
5th row현촌경로당
ValueCountFrequency (%)
입석경로당 3
 
0.7%
평촌경로당 3
 
0.7%
상장경로당 2
 
0.4%
경로당 2
 
0.4%
중촌경로당 2
 
0.4%
양동경로당 2
 
0.4%
내동경로당 2
 
0.4%
신기경로당 2
 
0.4%
호동경로당 2
 
0.4%
세동경로당 2
 
0.4%
Other values (416) 431
95.1%
2023-12-12T22:15:25.797732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
19.1%
451
18.7%
451
18.7%
63
 
2.6%
26
 
1.1%
24
 
1.0%
22
 
0.9%
21
 
0.9%
20
 
0.8%
20
 
0.8%
Other values (209) 853
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2384
98.8%
Decimal Number 24
 
1.0%
Space Separator 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
462
19.4%
451
18.9%
451
18.9%
63
 
2.6%
26
 
1.1%
24
 
1.0%
22
 
0.9%
21
 
0.9%
20
 
0.8%
20
 
0.8%
Other values (200) 824
34.6%
Decimal Number
ValueCountFrequency (%)
2 11
45.8%
1 7
29.2%
3 3
 
12.5%
7 1
 
4.2%
6 1
 
4.2%
8 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2384
98.8%
Common 27
 
1.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
462
19.4%
451
18.9%
451
18.9%
63
 
2.6%
26
 
1.1%
24
 
1.0%
22
 
0.9%
21
 
0.9%
20
 
0.8%
20
 
0.8%
Other values (200) 824
34.6%
Common
ValueCountFrequency (%)
2 11
40.7%
1 7
25.9%
3 3
 
11.1%
3
 
11.1%
7 1
 
3.7%
6 1
 
3.7%
8 1
 
3.7%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2384
98.8%
ASCII 29
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
462
19.4%
451
18.9%
451
18.9%
63
 
2.6%
26
 
1.1%
24
 
1.0%
22
 
0.9%
21
 
0.9%
20
 
0.8%
20
 
0.8%
Other values (200) 824
34.6%
ASCII
ValueCountFrequency (%)
2 11
37.9%
1 7
24.1%
3 3
 
10.3%
3
 
10.3%
7 1
 
3.4%
6 1
 
3.4%
8 1
 
3.4%
L 1
 
3.4%
H 1
 
3.4%
Distinct449
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T22:15:26.230924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length20.325942
Min length17

Characters and Unicode

Total characters9167
Distinct characters221
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

Unique447 ?
Unique (%)99.1%

Sample

1st row전라남도 보성군 보성읍 송재로 177-3
2nd row전라남도 보성군 보성읍 평촌길 8-17
3rd row전라남도 보성군 보성읍 신지두슬길 85
4th row전라남도 보성군 보성읍 주봉길 10-3
5th row전라남도 보성군 보성읍 현촌길 16
ValueCountFrequency (%)
전라남도 451
20.6%
보성군 451
20.6%
벌교읍 98
 
4.5%
득량면 51
 
2.3%
보성읍 48
 
2.2%
조성면 47
 
2.1%
회천면 47
 
2.1%
복내면 32
 
1.5%
노동면 24
 
1.1%
율어면 24
 
1.1%
Other values (629) 917
41.9%
2023-12-12T22:15:26.807431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1742
19.0%
562
 
6.1%
510
 
5.6%
463
 
5.1%
456
 
5.0%
456
 
5.0%
454
 
5.0%
451
 
4.9%
385
 
4.2%
305
 
3.3%
Other values (211) 3383
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6041
65.9%
Space Separator 1742
 
19.0%
Decimal Number 1225
 
13.4%
Dash Punctuation 159
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
562
 
9.3%
510
 
8.4%
463
 
7.7%
456
 
7.5%
456
 
7.5%
454
 
7.5%
451
 
7.5%
385
 
6.4%
305
 
5.0%
148
 
2.4%
Other values (199) 1851
30.6%
Decimal Number
ValueCountFrequency (%)
1 239
19.5%
2 192
15.7%
3 161
13.1%
4 119
9.7%
5 103
8.4%
6 102
8.3%
8 91
 
7.4%
9 78
 
6.4%
7 77
 
6.3%
0 63
 
5.1%
Space Separator
ValueCountFrequency (%)
1742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6041
65.9%
Common 3126
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
562
 
9.3%
510
 
8.4%
463
 
7.7%
456
 
7.5%
456
 
7.5%
454
 
7.5%
451
 
7.5%
385
 
6.4%
305
 
5.0%
148
 
2.4%
Other values (199) 1851
30.6%
Common
ValueCountFrequency (%)
1742
55.7%
1 239
 
7.6%
2 192
 
6.1%
3 161
 
5.2%
- 159
 
5.1%
4 119
 
3.8%
5 103
 
3.3%
6 102
 
3.3%
8 91
 
2.9%
9 78
 
2.5%
Other values (2) 140
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6041
65.9%
ASCII 3126
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1742
55.7%
1 239
 
7.6%
2 192
 
6.1%
3 161
 
5.2%
- 159
 
5.1%
4 119
 
3.8%
5 103
 
3.3%
6 102
 
3.3%
8 91
 
2.9%
9 78
 
2.5%
Other values (2) 140
 
4.5%
Hangul
ValueCountFrequency (%)
562
 
9.3%
510
 
8.4%
463
 
7.7%
456
 
7.5%
456
 
7.5%
454
 
7.5%
451
 
7.5%
385
 
6.4%
305
 
5.0%
148
 
2.4%
Other values (199) 1851
30.6%

전화번호
Text

MISSING 

Distinct267
Distinct (%)98.9%
Missing181
Missing (%)40.1%
Memory size3.7 KiB
2023-12-12T22:15:27.137519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3240
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

Unique264 ?
Unique (%)97.8%

Sample

1st row061-852-2760
2nd row061-853-2440
3rd row061-852-2484
4th row061-853-5780
5th row061-852-0939
ValueCountFrequency (%)
061-852-1599 2
 
0.7%
061-858-2321 2
 
0.7%
061-852-5501 2
 
0.7%
061-852-0485 1
 
0.4%
061-852-9311 1
 
0.4%
061-853-7266 1
 
0.4%
061-852-4779 1
 
0.4%
061-853-8890 1
 
0.4%
061-853-4994 1
 
0.4%
061-857-3884 1
 
0.4%
Other values (257) 257
95.2%
2023-12-12T22:15:27.596338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 540
16.7%
0 395
12.2%
5 389
12.0%
1 388
12.0%
8 379
11.7%
6 371
11.5%
2 217
6.7%
3 206
 
6.4%
4 125
 
3.9%
7 117
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2700
83.3%
Dash Punctuation 540
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 395
14.6%
5 389
14.4%
1 388
14.4%
8 379
14.0%
6 371
13.7%
2 217
8.0%
3 206
7.6%
4 125
 
4.6%
7 117
 
4.3%
9 113
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 540
16.7%
0 395
12.2%
5 389
12.0%
1 388
12.0%
8 379
11.7%
6 371
11.5%
2 217
6.7%
3 206
 
6.4%
4 125
 
3.9%
7 117
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 540
16.7%
0 395
12.2%
5 389
12.0%
1 388
12.0%
8 379
11.7%
6 371
11.5%
2 217
6.7%
3 206
 
6.4%
4 125
 
3.9%
7 117
 
3.6%

Interactions

2023-12-12T22:15:24.449959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T22:15:24.582510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:15:24.691859image/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

연번명칭경로당주소전화번호
01보성경로당전라남도 보성군 보성읍 송재로 177-3061-852-2760
12평촌경로당전라남도 보성군 보성읍 평촌길 8-17<NA>
23두슬경로당전라남도 보성군 보성읍 신지두슬길 85061-853-2440
34주봉1경로당전라남도 보성군 보성읍 주봉길 10-3<NA>
45현촌경로당전라남도 보성군 보성읍 현촌길 16061-852-2484
56담안경로당전라남도 보성군 보성읍 담안길 48061-853-5780
67동암경로당전라남도 보성군 보성읍 동암1길 63<NA>
78택촌경로당전라남도 보성군 보성읍 택촌길 9<NA>
89정노회경로당전라남도 보성군 보성읍 현충로 42-36061-852-0939
910보성여자경로당전라남도 보성군 보성읍 송재로 177-3061-853-5660
연번명칭경로당주소전화번호
441442덕림경로당전라남도 보성군 웅치면 용추덕림길 64061-853-1944
442443대은경로당전라남도 보성군 웅치면 대은길38-4061-853-6296
443444녹동경로당전라남도 보성군 웅치면 녹동길18061-853-1217
444445원삼수경로당전라남도 보성군 웅치면 외삼수길6061-852-2714
445446삼수경로당전라남도 보성군 웅치면 삼수길5061-852-6678
446447부춘동경로당전라남도 보성군 웅치면 부춘길29-4061-852-9930
447448왕초경로당전라남도 보성군 웅치면 왕초길2061-852-0485
448449오류경로당전라남도 보성군 웅치면 유산길 253061-853-2029
449450내동경로당전라남도 보성군 웅치면 웅치내동길 24-13061-852-4675
450451서촌경로당전라남도 보성군 웅치면 일림로 969<NA>