Overview

Dataset statistics

Number of variables4
Number of observations176
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory32.8 B

Variable types

Text2
DateTime1
Categorical1

Dataset

Description이 데이터는 충청남도 금산군 코로나19 확진자 현황(충청남도 연번, 금산군 연번, 확진일) 데이터 입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=332&beforeMenuCd=DOM_000000201001001000&publicdatapk=15087962

Alerts

데이터기준일자 has constant value ""Constant
충청남도 연번 has unique valuesUnique
금산군 연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:16:45.741834
Analysis finished2024-01-09 23:16:45.967535
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충청남도 연번
Text

UNIQUE 

Distinct176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:16:46.188760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.8693182
Min length6

Characters and Unicode

Total characters1209
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)100.0%

Sample

1st row충남#169
2nd row충남#174
3rd row충남#178
4th row충남#179
5th row충남#181
ValueCountFrequency (%)
충남#169 1
 
0.6%
충남#174 1
 
0.6%
충남#5348 1
 
0.6%
충남#5234 1
 
0.6%
충남#5235 1
 
0.6%
충남#5288 1
 
0.6%
충남#5289 1
 
0.6%
충남#5290 1
 
0.6%
충남#5291 1
 
0.6%
충남#5321 1
 
0.6%
Other values (166) 166
94.3%
2024-01-10T08:16:46.563583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
충 176
14.6%
남 176
14.6%
# 176
14.6%
4 107
8.9%
5 101
8.4%
1 83
6.9%
7 72
6.0%
6 67
 
5.5%
2 67
 
5.5%
3 51
 
4.2%
Other values (3) 133
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 681
56.3%
Other Letter 352
29.1%
Other Punctuation 176
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 107
15.7%
5 101
14.8%
1 83
12.2%
7 72
10.6%
6 67
9.8%
2 67
9.8%
3 51
7.5%
8 50
7.3%
0 44
6.5%
9 39
 
5.7%
Other Letter
ValueCountFrequency (%)
충 176
50.0%
남 176
50.0%
Other Punctuation
ValueCountFrequency (%)
# 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 857
70.9%
Hangul 352
29.1%

Most frequent character per script

Common
ValueCountFrequency (%)
# 176
20.5%
4 107
12.5%
5 101
11.8%
1 83
9.7%
7 72
8.4%
6 67
 
7.8%
2 67
 
7.8%
3 51
 
6.0%
8 50
 
5.8%
0 44
 
5.1%
Hangul
ValueCountFrequency (%)
충 176
50.0%
남 176
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 857
70.9%
Hangul 352
29.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
충 176
50.0%
남 176
50.0%
ASCII
ValueCountFrequency (%)
# 176
20.5%
4 107
12.5%
5 101
11.8%
1 83
9.7%
7 72
8.4%
6 67
 
7.8%
2 67
 
7.8%
3 51
 
6.0%
8 50
 
5.8%
0 44
 
5.1%

금산군 연번
Text

UNIQUE 

Distinct176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T08:16:46.853654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3863636
Min length5

Characters and Unicode

Total characters1124
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)100.0%

Sample

1st row금산군#1
2nd row금산군#2
3rd row금산군#3
4th row금산군#4
5th row금산군#5
ValueCountFrequency (%)
금산군#1 1
 
0.6%
금산군#2 1
 
0.6%
금산군#121 1
 
0.6%
금산군#113 1
 
0.6%
금산군#114 1
 
0.6%
금산군#115 1
 
0.6%
금산군#116 1
 
0.6%
금산군#117 1
 
0.6%
금산군#118 1
 
0.6%
금산군#119 1
 
0.6%
Other values (166) 166
94.3%
2024-01-10T08:16:47.250189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 176
15.7%
산 176
15.7%
군 176
15.7%
# 176
15.7%
1 115
10.2%
2 38
 
3.4%
3 38
 
3.4%
4 38
 
3.4%
5 38
 
3.4%
6 38
 
3.4%
Other values (4) 115
10.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
47.0%
Decimal Number 420
37.4%
Other Punctuation 176
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 115
27.4%
2 38
 
9.0%
3 38
 
9.0%
4 38
 
9.0%
5 38
 
9.0%
6 38
 
9.0%
7 34
 
8.1%
8 27
 
6.4%
9 27
 
6.4%
0 27
 
6.4%
Other Letter
ValueCountFrequency (%)
금 176
33.3%
산 176
33.3%
군 176
33.3%
Other Punctuation
ValueCountFrequency (%)
# 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 596
53.0%
Hangul 528
47.0%

Most frequent character per script

Common
ValueCountFrequency (%)
# 176
29.5%
1 115
19.3%
2 38
 
6.4%
3 38
 
6.4%
4 38
 
6.4%
5 38
 
6.4%
6 38
 
6.4%
7 34
 
5.7%
8 27
 
4.5%
9 27
 
4.5%
Hangul
ValueCountFrequency (%)
금 176
33.3%
산 176
33.3%
군 176
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 596
53.0%
Hangul 528
47.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 176
33.3%
산 176
33.3%
군 176
33.3%
ASCII
ValueCountFrequency (%)
# 176
29.5%
1 115
19.3%
2 38
 
6.4%
3 38
 
6.4%
4 38
 
6.4%
5 38
 
6.4%
6 38
 
6.4%
7 34
 
5.7%
8 27
 
4.5%
9 27
 
4.5%

확진일자
Date

Distinct79
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2020-06-30 00:00:00
Maximum2021-09-06 00:00:00
2024-01-10T08:16:47.382337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:16:47.535021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2021-09-06
176 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-06
2nd row2021-09-06
3rd row2021-09-06
4th row2021-09-06
5th row2021-09-06

Common Values

ValueCountFrequency (%)
2021-09-06 176
100.0%

Length

2024-01-10T08:16:47.679941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:16:47.762851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-06 176
100.0%

Missing values

2024-01-10T08:16:45.853824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:16:45.936185image/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

충청남도 연번금산군 연번확진일자데이터기준일자
0충남#169금산군#12020-06-302021-09-06
1충남#174금산군#22020-07-062021-09-06
2충남#178금산군#32020-07-072021-09-06
3충남#179금산군#42020-07-072021-09-06
4충남#181금산군#52020-07-092021-09-06
5충남#185금산군#62020-07-122021-09-06
6충남#385금산군#72020-09-072021-09-06
7충남#406금산군#82020-09-092021-09-06
8충남#409금산군#92020-09-102021-09-06
9충남#410금산군#102020-09-102021-09-06
충청남도 연번금산군 연번확진일자데이터기준일자
166충남#6727금산군#1672021-08-272021-09-06
167충남#6728금산군#1682021-08-272021-09-06
168충남#6729금산군#1692021-08-272021-09-06
169충남#6730금산군#1702021-08-272021-09-06
170충남#6731금산군#1712021-08-262021-09-06
171충남#6947금산군#1722021-08-312021-09-06
172충남#7120금산군#1732021-09-022021-09-06
173충남#7236금산군#1742021-09-032021-09-06
174충남#7303금산군#1752021-09-042021-09-06
175충남#7463금산군#1762021-09-062021-09-06