Overview

Dataset statistics

Number of variables9
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory79.7 B

Variable types

Numeric1
Categorical7
Text1

Dataset

Description샘플 데이터
Author성균관대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=7a4a32b0-e842-11ea-835f-5b142183dc74

Alerts

연월일 has constant value ""Constant
환경플랫폼 하위 도메인명 has constant value ""Constant
도메인 하위 카테고리명 has constant value ""Constant
SNS 채널명 has constant value ""Constant
일간연관어언급량 has constant value ""Constant
일간연관어연번 has unique valuesUnique
연관어명 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:51:15.174824
Analysis finished2024-04-19 05:51:15.643637
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일간연관어연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-19T14:51:15.706513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-04-19T14:51:15.881746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

연월일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2020-07-31
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-07-31
2nd row2020-07-31
3rd row2020-07-31
4th row2020-07-31
5th row2020-07-31

Common Values

ValueCountFrequency (%)
2020-07-31 28
100.0%

Length

2024-04-19T14:51:16.035211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:16.131473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-07-31 28
100.0%

환경플랫폼 하위 도메인명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
자연환경
28 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자연환경 28
100.0%

Length

2024-04-19T14:51:16.235220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:16.320621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연환경 28
100.0%

도메인 하위 카테고리명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
토양
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토양 28
100.0%

Length

2024-04-19T14:51:16.410255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:16.492997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토양 28
100.0%

SNS 채널명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
paper
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
paper 28
100.0%

Length

2024-04-19T14:51:16.592135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:16.693195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
paper 28
100.0%

단어속성명
Categorical

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
속성
11 
라이프
7 
기타
4 
인물
3 
장소
 
1
Other values (2)
2 

Length

Max length6
Median length2
Mean length2.3928571
Min length2

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row라이프
2nd row장소
3rd row라이프
4th row인물
5th row엔터테인먼트

Common Values

ValueCountFrequency (%)
속성 11
39.3%
라이프 7
25.0%
기타 4
 
14.3%
인물 3
 
10.7%
장소 1
 
3.6%
엔터테인먼트 1
 
3.6%
단체 1
 
3.6%

Length

2024-04-19T14:51:16.822991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:17.276495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성 11
39.3%
라이프 7
25.0%
기타 4
 
14.3%
인물 3
 
10.7%
장소 1
 
3.6%
엔터테인먼트 1
 
3.6%
단체 1
 
3.6%

연관어명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-19T14:51:17.465559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.3571429
Min length2

Characters and Unicode

Total characters66
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row계약
2nd row광산
3rd row구독
4th row김준
5th row미디어
ValueCountFrequency (%)
계약 1
 
3.6%
광산 1
 
3.6%
환경공학 1
 
3.6%
형사 1
 
3.6%
토양 1
 
3.6%
출처 1
 
3.6%
체결 1
 
3.6%
책임 1
 
3.6%
주인 1
 
3.6%
전송 1
 
3.6%
Other values (18) 18
64.3%
2024-04-19T14:51:17.786943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
저 3
 
4.5%
학 2
 
3.0%
작 2
 
3.0%
박 2
 
3.0%
성 2
 
3.0%
계 1
 
1.5%
책 1
 
1.5%
리 1
 
1.5%
원 1
 
1.5%
위 1
 
1.5%
Other values (50) 50
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
저 3
 
4.5%
학 2
 
3.0%
작 2
 
3.0%
박 2
 
3.0%
성 2
 
3.0%
계 1
 
1.5%
책 1
 
1.5%
리 1
 
1.5%
원 1
 
1.5%
위 1
 
1.5%
Other values (50) 50
75.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
저 3
 
4.5%
학 2
 
3.0%
작 2
 
3.0%
박 2
 
3.0%
성 2
 
3.0%
계 1
 
1.5%
책 1
 
1.5%
리 1
 
1.5%
원 1
 
1.5%
위 1
 
1.5%
Other values (50) 50
75.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
저 3
 
4.5%
학 2
 
3.0%
작 2
 
3.0%
박 2
 
3.0%
성 2
 
3.0%
계 1
 
1.5%
책 1
 
1.5%
리 1
 
1.5%
원 1
 
1.5%
위 1
 
1.5%
Other values (50) 50
75.8%

일간연관어언급량
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 28
100.0%

Length

2024-04-19T14:51:17.934390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:18.037189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
100.0%

일간연관어단어량
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
13 
2
12 
14
 
1
5
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0357143
Min length1

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 13
46.4%
2 12
42.9%
14 1
 
3.6%
5 1
 
3.6%
3 1
 
3.6%

Length

2024-04-19T14:51:18.187714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:51:18.301536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
46.4%
2 12
42.9%
14 1
 
3.6%
5 1
 
3.6%
3 1
 
3.6%

Interactions

2024-04-19T14:51:15.344116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:51:18.390367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번단어속성명연관어명일간연관어단어량
일간연관어연번1.0000.0001.0000.348
단어속성명0.0001.0001.0000.652
연관어명1.0001.0001.0001.000
일간연관어단어량0.3480.6521.0001.000
2024-04-19T14:51:18.482567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어단어량단어속성명
일간연관어단어량1.0000.465
단어속성명0.4651.000
2024-04-19T14:51:18.564179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번단어속성명일간연관어단어량
일간연관어연번1.0000.0000.066
단어속성명0.0001.0000.465
일간연관어단어량0.0660.4651.000

Missing values

2024-04-19T14:51:15.452499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:51:15.589167image/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

일간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명일간연관어언급량일간연관어단어량
012020-07-31자연환경토양paper라이프계약11
122020-07-31자연환경토양paper장소광산12
232020-07-31자연환경토양paper라이프구독11
342020-07-31자연환경토양paper인물김준12
452020-07-31자연환경토양paper엔터테인먼트미디어11
562020-07-31자연환경토양paper기타박성재12
672020-07-31자연환경토양paper인물박정훈12
782020-07-31자연환경토양paper속성법령11
892020-07-31자연환경토양paper라이프보증11
9102020-07-31자연환경토양paper속성복제11
일간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명일간연관어언급량일간연관어단어량
18192020-07-31자연환경토양paper속성저작물15
19202020-07-31자연환경토양paper속성전송11
20212020-07-31자연환경토양paper속성주인12
21222020-07-31자연환경토양paper속성책임12
22232020-07-31자연환경토양paper라이프체결11
23242020-07-31자연환경토양paper속성출처11
24252020-07-31자연환경토양paper라이프토양12
25262020-07-31자연환경토양paper라이프형사11
26272020-07-31자연환경토양paper기타환경공학13
27282020-07-31자연환경토양paper속성회지12