Overview

Dataset statistics

Number of variables5
Number of observations413
Missing cells59
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.
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

시설종류 has constant value ""Constant
전화번호 has 59 (14.3%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:14:23.561268
Analysis finished2024-01-09 23:14:24.066131
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207
Minimum1
Maximum413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T08:14:24.133848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.6
Q1104
median207
Q3310
95-th percentile392.4
Maximum413
Range412
Interquartile range (IQR)206

Descriptive statistics

Standard deviation119.36708
Coefficient of variation (CV)0.57665256
Kurtosis-1.2
Mean207
Median Absolute Deviation (MAD)103
Skewness0
Sum85491
Variance14248.5
MonotonicityStrictly increasing
2024-01-10T08:14:24.254121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
273 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%
276 1
 
0.2%
Other values (403) 403
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 (%)
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%
404 1
0.2%

시설명
Text

UNIQUE 

Distinct413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T08:14:24.438241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length8.5472155
Min length5

Characters and Unicode

Total characters3530
Distinct characters217
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

Unique413 ?
Unique (%)100.0%

Sample

1st row대천4동분회경로당
2nd row라원1리(원우)경로당
3rd row소양1리(양지편)경로당
4th row소양2리경로당
5th row내현2리(백현)경로당
ValueCountFrequency (%)
경로당 82
 
16.1%
분회경로당 3
 
0.6%
주교2리 2
 
0.4%
대천4동분회경로당 1
 
0.2%
연지리(가줄)경로당 1
 
0.2%
내평 1
 
0.2%
옥현1리경로당 1
 
0.2%
양기2리 1
 
0.2%
소양1리(익랑)경로당 1
 
0.2%
옥동경로당 1
 
0.2%
Other values (415) 415
81.5%
2024-01-10T08:14:24.755106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
418
 
11.8%
408
 
11.6%
407
 
11.5%
225
 
6.4%
1 129
 
3.7%
2 119
 
3.4%
108
 
3.1%
) 103
 
2.9%
( 103
 
2.9%
97
 
2.7%
Other values (207) 1413
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2830
80.2%
Decimal Number 389
 
11.0%
Close Punctuation 103
 
2.9%
Open Punctuation 103
 
2.9%
Space Separator 97
 
2.7%
Other Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
418
14.8%
408
14.4%
407
14.4%
225
 
8.0%
108
 
3.8%
90
 
3.2%
72
 
2.5%
58
 
2.0%
39
 
1.4%
35
 
1.2%
Other values (191) 970
34.3%
Decimal Number
ValueCountFrequency (%)
1 129
33.2%
2 119
30.6%
3 57
14.7%
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%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Space Separator
ValueCountFrequency (%)
97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2830
80.2%
Common 700
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
418
14.8%
408
14.4%
407
14.4%
225
 
8.0%
108
 
3.8%
90
 
3.2%
72
 
2.5%
58
 
2.0%
39
 
1.4%
35
 
1.2%
Other values (191) 970
34.3%
Common
ValueCountFrequency (%)
1 129
18.4%
2 119
17.0%
) 103
14.7%
( 103
14.7%
97
13.9%
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%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2830
80.2%
ASCII 698
 
19.8%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
418
14.8%
408
14.4%
407
14.4%
225
 
8.0%
108
 
3.8%
90
 
3.2%
72
 
2.5%
58
 
2.0%
39
 
1.4%
35
 
1.2%
Other values (191) 970
34.3%
ASCII
ValueCountFrequency (%)
1 129
18.5%
2 119
17.0%
) 103
14.8%
( 103
14.8%
97
13.9%
3 57
8.2%
4 25
 
3.6%
5 19
 
2.7%
6 10
 
1.4%
7 10
 
1.4%
Other values (5) 26
 
3.7%
None
ValueCountFrequency (%)
· 2
100.0%

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
경로당
413 

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 413
100.0%

Length

2024-01-10T08:14:24.873496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:14:24.955068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 413
100.0%

전화번호
Text

MISSING 

Distinct340
Distinct (%)96.0%
Missing59
Missing (%)14.3%
Memory size3.4 KiB
2024-01-10T08:14:25.139765image/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%
2024-01-10T08:14:25.490351image/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%
Distinct400
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T08:14:25.810776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/