Overview

Dataset statistics

Number of variables5
Number of observations404
Missing cells93
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.3 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description충청남도 보령시 경로당에 대한 데이터로 시설명, 시설종류(경로당), 전화번호, 시설 소재지 주소 등의 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=424&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037748

Alerts

종류 has constant value ""Constant
전화번호 has 93 (23.0%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:14:27.217583
Analysis finished2024-01-09 23:14:27.760956
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct404
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.5
Minimum1
Maximum404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-10T08:14:27.826831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.15
Q1101.75
median202.5
Q3303.25
95-th percentile383.85
Maximum404
Range403
Interquartile range (IQR)201.5

Descriptive statistics

Standard deviation116.769
Coefficient of variation (CV)0.57663705
Kurtosis-1.2
Mean202.5
Median Absolute Deviation (MAD)101
Skewness0
Sum81810
Variance13635
MonotonicityStrictly increasing
2024-01-10T08:14:27.962837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
268 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
271 1
 
0.2%
Other values (394) 394
97.5%
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 (%)
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%
397 1
0.2%
396 1
0.2%
395 1
0.2%

시설명
Text

UNIQUE 

Distinct404
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T08:14:28.166652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.4356436
Min length5

Characters and Unicode

Total characters3408
Distinct characters208
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)100.0%

Sample

1st row대천4동분회경로당
2nd row라원1리(원우)경로당
3rd row소양1리(양지편)경로당
4th row소양2리경로당
5th row내현2리(백현)경로당
ValueCountFrequency (%)
경로당 75
 
15.4%
분회경로당 3
 
0.6%
대천4동분회경로당 1
 
0.2%
야룡2리경로당 1
 
0.2%
오포2리경로당 1
 
0.2%
화평1리(약현)경로당 1
 
0.2%
신흑9통(산호아파트 1
 
0.2%
명천8통경로당 1
 
0.2%
동대8통경로당 1
 
0.2%
성주2리경로당 1
 
0.2%
Other values (402) 402
82.4%
2024-01-10T08:14:28.497427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
407
 
11.9%
399
 
11.7%
398
 
11.7%
220
 
6.5%
1 128
 
3.8%
2 112
 
3.3%
104
 
3.1%
) 102
 
3.0%
( 102
 
3.0%
89
 
2.6%
Other values (198) 1347
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2733
80.2%
Decimal Number 377
 
11.1%
Close Punctuation 102
 
3.0%
Open Punctuation 102
 
3.0%
Space Separator 85
 
2.5%
Other Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
407
14.9%
399
14.6%
398
14.6%
220
 
8.0%
104
 
3.8%
89
 
3.3%
69
 
2.5%
56
 
2.0%
38
 
1.4%
35
 
1.3%
Other values (182) 918
33.6%
Decimal Number
ValueCountFrequency (%)
1 128
34.0%
2 112
29.7%
3 55
14.6%
4 23
 
6.1%
5 19
 
5.0%
8 10
 
2.7%
7 10
 
2.7%
6 10
 
2.7%
9 7
 
1.9%
0 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
. 2
 
22.2%
· 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2733
80.2%
Common 675
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
407
14.9%
399
14.6%
398
14.6%
220
 
8.0%
104
 
3.8%
89
 
3.3%
69
 
2.5%
56
 
2.0%
38
 
1.4%
35
 
1.3%
Other values (182) 918
33.6%
Common
ValueCountFrequency (%)
1 128
19.0%
2 112
16.6%
) 102
15.1%
( 102
15.1%
85
12.6%
3 55
8.1%
4 23
 
3.4%
5 19
 
2.8%
8 10
 
1.5%
7 10
 
1.5%
Other values (6) 29
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2733
80.2%
ASCII 673
 
19.7%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
407
14.9%
399
14.6%
398
14.6%
220
 
8.0%
104
 
3.8%
89
 
3.3%
69
 
2.5%
56
 
2.0%
38
 
1.4%
35
 
1.3%
Other values (182) 918
33.6%
ASCII
ValueCountFrequency (%)
1 128
19.0%
2 112
16.6%
) 102
15.2%
( 102
15.2%
85
12.6%
3 55
8.2%
4 23
 
3.4%
5 19
 
2.8%
8 10
 
1.5%
7 10
 
1.5%
Other values (5) 27
 
4.0%
None
ValueCountFrequency (%)
· 2
100.0%

종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
경로당
404 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 404
100.0%

Length

2024-01-10T08:14:28.882886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:14:28.971032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 404
100.0%

전화번호
Text

MISSING 

Distinct298
Distinct (%)95.8%
Missing93
Missing (%)23.0%
Memory size3.3 KiB
2024-01-10T08:14:29.172761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3732
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

Unique287 ?
Unique (%)92.3%

Sample

1st row041-935-4647
2nd row041-932-5901
3rd row041-932-2703
4th row041-933-1948
5th row041-932-2086
ValueCountFrequency (%)
041-934-6690 4
 
1.3%
041-641-2606 2
 
0.6%
041-933-4996 2
 
0.6%
041-935-9772 2
 
0.6%
041-933-5476 2
 
0.6%
041-932-6923 2
 
0.6%
041-932-9772 2
 
0.6%
041-934-9343 2
 
0.6%
041-933-6013 2
 
0.6%
041-933-8449 2
 
0.6%
Other values (288) 289
92.9%
2024-01-10T08:14:29.512823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 622
16.7%
4 521
14.0%
3 481
12.9%
1 450
12.1%
0 441
11.8%
9 426
11.4%
6 204
 
5.5%
2 172
 
4.6%
5 159
 
4.3%
7 145
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3110
83.3%
Dash Punctuation 622
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 521
16.8%
3 481
15.5%
1 450
14.5%
0 441
14.2%
9 426
13.7%
6 204
 
6.6%
2 172
 
5.5%
5 159
 
5.1%
7 145
 
4.7%
8 111
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 622
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 622
16.7%
4 521
14.0%
3 481
12.9%
1 450
12.1%
0 441
11.8%
9 426
11.4%
6 204
 
5.5%
2 172
 
4.6%
5 159
 
4.3%
7 145
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 622
16.7%
4 521
14.0%
3 481
12.9%
1 450
12.1%
0 441
11.8%
9 426
11.4%
6 204
 
5.5%
2 172
 
4.6%
5 159
 
4.3%
7 145
 
3.9%
Distinct392
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T08:14:29.843871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/