Overview

Dataset statistics

Number of variables5
Number of observations414
Missing cells60
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.7 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.
URLhttps://www.data.go.kr/data/15037748/fileData.do

Alerts

시설종류 has constant value ""Constant
전화번호 has 60 (14.5%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:53:41.348209
Analysis finished2023-12-12 16:53:42.003750
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.5
Minimum1
Maximum414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T01:53:42.114601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.65
Q1104.25
median207.5
Q3310.75
95-th percentile393.35
Maximum414
Range413
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation119.65576
Coefficient of variation (CV)0.57665425
Kurtosis-1.2
Mean207.5
Median Absolute Deviation (MAD)103.5
Skewness0
Sum85905
Variance14317.5
MonotonicityStrictly increasing
2023-12-13T01:53:42.338100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
274 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
Other values (404) 404
97.6%
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 (%)
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%

시설명
Text

UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T01:53:42.622792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length8.5555556
Min length5

Characters and Unicode

Total characters3542
Distinct characters220
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)100.0%

Sample

1st row대천4동분회경로당
2nd row라원1리(원우)경로당
3rd row소양1리(양지편)경로당
4th row소양2리경로당
5th row내현2리(백현)경로당
ValueCountFrequency (%)
경로당 83
 
16.2%
분회경로당 3
 
0.6%
주교2리 2
 
0.4%
대천4동분회경로당 1
 
0.2%
신흑9통(산호아파트 1
 
0.2%
옥현1리경로당 1
 
0.2%
양기2리 1
 
0.2%
소양1리(익랑)경로당 1
 
0.2%
옥동경로당 1
 
0.2%
낙동5리경로당 1
 
0.2%
Other values (416) 416
81.4%
2023-12-13T01:53:43.078593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
419
 
11.8%
409
 
11.5%
408
 
11.5%
225
 
6.4%
1 130
 
3.7%
2 119
 
3.4%
108
 
3.0%
( 103
 
2.9%
) 103
 
2.9%
98
 
2.8%
Other values (210) 1420
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2837
80.1%
Decimal Number 390
 
11.0%
Open Punctuation 103
 
2.9%
Close Punctuation 103
 
2.9%
Space Separator 98
 
2.8%
Other Punctuation 8
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
419
14.8%
409
14.4%
408
14.4%
225
 
7.9%
108
 
3.8%
90
 
3.2%
73
 
2.6%
58
 
2.0%
39
 
1.4%
35
 
1.2%
Other values (191) 973
34.3%
Decimal Number
ValueCountFrequency (%)
1 130
33.3%
2 119
30.5%
3 57
14.6%
4 25
 
6.4%
5 19
 
4.9%
6 10
 
2.6%
7 10
 
2.6%
8 10
 
2.6%
9 7
 
1.8%
0 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
. 2
25.0%
· 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
H 1
33.3%
A 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Space Separator
ValueCountFrequency (%)
98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2837
80.1%
Common 702
 
19.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
419
14.8%
409
14.4%
408
14.4%
225
 
7.9%
108
 
3.8%
90
 
3.2%
73
 
2.6%
58
 
2.0%
39
 
1.4%
35
 
1.2%
Other values (191) 973
34.3%
Common
ValueCountFrequency (%)
1 130
18.5%
2 119
17.0%
( 103
14.7%
) 103
14.7%
98
14.0%
3 57
8.1%
4 25
 
3.6%
5 19
 
2.7%
6 10
 
1.4%
7 10
 
1.4%
Other values (6) 28
 
4.0%
Latin
ValueCountFrequency (%)
L 1
33.3%
H 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2837
80.1%
ASCII 703
 
19.8%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
419
14.8%
409
14.4%
408
14.4%
225
 
7.9%
108
 
3.8%
90
 
3.2%
73
 
2.6%
58
 
2.0%
39
 
1.4%
35
 
1.2%
Other values (191) 973
34.3%
ASCII
ValueCountFrequency (%)
1 130
18.5%
2 119
16.9%
( 103
14.7%
) 103
14.7%
98
13.9%
3 57
8.1%
4 25
 
3.6%
5 19
 
2.7%
6 10
 
1.4%
7 10
 
1.4%
Other values (8) 29
 
4.1%
None
ValueCountFrequency (%)
· 2
100.0%

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
경로당
414 

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 414
100.0%

Length

2023-12-13T01:53:43.219757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:53:43.339830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 414
100.0%

전화번호
Text

MISSING 

Distinct340
Distinct (%)96.0%
Missing60
Missing (%)14.5%
Memory size3.4 KiB
2023-12-13T01:53:43.624125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.00565
Min length12

Characters and Unicode

Total characters4250
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

Unique328 ?
Unique (%)92.7%

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
 
1.1%
041-933-4996 2
 
0.6%
041-933-5003 2
 
0.6%
041-935-7945 2
 
0.6%
041-933-5476 2
 
0.6%
041-934-9343 2
 
0.6%
041-932-9772 2
 
0.6%
041-933-8449 2
 
0.6%
041-933-6013 2
 
0.6%
041-932-6923 2
 
0.6%
Other values (330) 332
93.8%
2023-12-13T01:53:44.053138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 708
16.7%
4 591
13.9%
3 560
13.2%
1 510
12.0%
0 501
11.8%
9 478
11.2%
6 232
 
5.5%
2 206
 
4.8%
5 180
 
4.2%
7 160
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3542
83.3%
Dash Punctuation 708
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 591
16.7%
3 560
15.8%
1 510
14.4%
0 501
14.1%
9 478
13.5%
6 232
 
6.5%
2 206
 
5.8%
5 180
 
5.1%
7 160
 
4.5%
8 124
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 708
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 708
16.7%
4 591
13.9%
3 560
13.2%
1 510
12.0%
0 501
11.8%
9 478
11.2%
6 232
 
5.5%
2 206
 
4.8%
5 180
 
4.2%
7 160
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 708
16.7%
4 591
13.9%
3 560
13.2%
1 510
12.0%
0 501
11.8%
9 478
11.2%
6 232
 
5.5%
2 206
 
4.8%
5 180
 
4.2%
7 160
 
3.8%
Distinct401
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T01:53:44.821152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/