Overview

Dataset statistics

Number of variables3
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows20
Duplicate rows (%)28.6%
Total size in memory1.8 KiB
Average record size in memory25.9 B

Variable types

Categorical3

Dataset

Description한국세라믹기술원 세라믹소재정보은행의 분과 승인 에디터 정보입니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15072076/fileData.do

Alerts

사용자 has constant value ""Constant
생성일 has constant value ""Constant
Dataset has 20 (28.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 11:26:49.591948
Analysis finished2023-12-12 11:26:49.828048
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사용자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
세라믹
70 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세라믹 70
100.0%

Length

2023-12-12T20:26:49.921911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:50.049929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세라믹 70
100.0%

분과
Categorical

Distinct20
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
OPT01
7 
ENE05
7 
MAC01
6 
PRO01
5 
ELC03
5 
Other values (15)
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowANA01
2nd rowANA02
3rd rowBIO01
4th rowBIO02
5th rowELC01

Common Values

ValueCountFrequency (%)
OPT01 7
 
10.0%
ENE05 7
 
10.0%
MAC01 6
 
8.6%
PRO01 5
 
7.1%
ELC03 5
 
7.1%
ENE01 4
 
5.7%
ENE04 4
 
5.7%
ENE02 3
 
4.3%
ELC02 3
 
4.3%
ELC01 3
 
4.3%
Other values (10) 23
32.9%

Length

2023-12-12T20:26:50.192397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
opt01 7
 
10.0%
ene05 7
 
10.0%
mac01 6
 
8.6%
pro01 5
 
7.1%
elc03 5
 
7.1%
ene01 4
 
5.7%
ene04 4
 
5.7%
mac02 3
 
4.3%
opt03 3
 
4.3%
opt02 3
 
4.3%
Other values (10) 23
32.9%

생성일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2009-09-10
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009-09-10
2nd row2009-09-10
3rd row2009-09-10
4th row2009-09-10
5th row2009-09-10

Common Values

ValueCountFrequency (%)
2009-09-10 70
100.0%

Length

2023-12-12T20:26:50.376365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:50.513556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009-09-10 70
100.0%

Missing values

2023-12-12T20:26:49.684683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:26:49.781719image/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

사용자분과생성일
0세라믹ANA012009-09-10
1세라믹ANA022009-09-10
2세라믹BIO012009-09-10
3세라믹BIO022009-09-10
4세라믹ELC012009-09-10
5세라믹ELC022009-09-10
6세라믹ELC032009-09-10
7세라믹ELC042009-09-10
8세라믹ENE012009-09-10
9세라믹ENE022009-09-10
사용자분과생성일
60세라믹ELC022009-09-10
61세라믹ELC032009-09-10
62세라믹ELC032009-09-10
63세라믹OPT012009-09-10
64세라믹ANA012009-09-10
65세라믹ENE042009-09-10
66세라믹OPT032009-09-10
67세라믹OPT012009-09-10
68세라믹OPT012009-09-10
69세라믹MAC012009-09-10

Duplicate rows

Most frequently occurring

사용자분과생성일# duplicates
12세라믹ENE052009-09-107
16세라믹OPT012009-09-107
13세라믹MAC012009-09-106
6세라믹ELC032009-09-105
19세라믹PRO012009-09-105
8세라믹ENE012009-09-104
11세라믹ENE042009-09-104
4세라믹ELC012009-09-103
5세라믹ELC022009-09-103
9세라믹ENE022009-09-103