Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory76.3 B

Variable types

Numeric2
Categorical6
Text1

Dataset

Description샘플 데이터
Author성균관대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=b9de2350-e842-11ea-a837-83d4a69b8aa7

Alerts

연월일 has constant value ""Constant
환경플랫폼 하위 도메인명 has constant value ""Constant
SNS 채널명 has constant value ""Constant
일간연관어언급량 has constant value ""Constant
일간연관어연번 is highly overall correlated with 도메인 하위 카테고리명High correlation
도메인 하위 카테고리명 is highly overall correlated with 일간연관어연번High correlation
일간연관어연번 has unique valuesUnique

Reproduction

Analysis started2024-04-19 21:47:40.529567
Analysis finished2024-04-19 21:47:41.653394
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일간연관어연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-20T06:47:41.732492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-04-20T06:47:41.875682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

연월일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021-01-03
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-03
2nd row2021-01-03
3rd row2021-01-03
4th row2021-01-03
5th row2021-01-03

Common Values

ValueCountFrequency (%)
2021-01-03 100
100.0%

Length

2024-04-20T06:47:42.003173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T06:47:42.296711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-03 100
100.0%

환경플랫폼 하위 도메인명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
물환경
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물환경 100
100.0%

Length

2024-04-20T06:47:42.392487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T06:47:42.476024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물환경 100
100.0%

도메인 하위 카테고리명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
하천
74 
호소
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하천 74
74.0%
호소 26
 
26.0%

Length

2024-04-20T06:47:42.572631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T06:47:42.664071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하천 74
74.0%
호소 26
 
26.0%

SNS 채널명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
patent
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
patent 100
100.0%

Length

2024-04-20T06:47:42.752530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T06:47:42.842954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
patent 100
100.0%

단어속성명
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
속성
35 
라이프
23 
기타
21 
인물
5 
상품
5 
Other values (4)
11 

Length

Max length6
Median length2
Mean length2.37
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row장소
2nd row속성
3rd row속성
4th row라이프
5th row라이프

Common Values

ValueCountFrequency (%)
속성 35
35.0%
라이프 23
23.0%
기타 21
21.0%
인물 5
 
5.0%
상품 5
 
5.0%
장소 4
 
4.0%
브랜드 4
 
4.0%
엔터테인먼트 2
 
2.0%
사회이슈 1
 
1.0%

Length

2024-04-20T06:47:42.949408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T06:47:43.078314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성 35
35.0%
라이프 23
23.0%
기타 21
21.0%
인물 5
 
5.0%
상품 5
 
5.0%
장소 4
 
4.0%
브랜드 4
 
4.0%
엔터테인먼트 2
 
2.0%
사회이슈 1
 
1.0%

연관어명
Text

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-20T06:47:43.321824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.52
Min length2

Characters and Unicode

Total characters252
Distinct characters118
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

Unique48 ?
Unique (%)48.0%

Sample

1st row개화
2nd row견고
3rd row경전
4th row관상
5th row관절
ValueCountFrequency (%)
개화 2
 
2.0%
물갈이 2
 
2.0%
나뉘다 2
 
2.0%
노화 2
 
2.0%
동화 2
 
2.0%
루비 2
 
2.0%
리제 2
 
2.0%
박테리아 2
 
2.0%
멈추다 2
 
2.0%
모체 2
 
2.0%
Other values (64) 80
80.0%
2024-04-20T06:47:43.705293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 11
 
4.4%
다 8
 
3.2%
관 7
 
2.8%
지 7
 
2.8%
리 7
 
2.8%
이 5
 
2.0%
나 5
 
2.0%
동 5
 
2.0%
부 5
 
2.0%
전 4
 
1.6%
Other values (108) 188
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 11
 
4.4%
다 8
 
3.2%
관 7
 
2.8%
지 7
 
2.8%
리 7
 
2.8%
이 5
 
2.0%
나 5
 
2.0%
동 5
 
2.0%
부 5
 
2.0%
전 4
 
1.6%
Other values (108) 188
74.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 11
 
4.4%
다 8
 
3.2%
관 7
 
2.8%
지 7
 
2.8%
리 7
 
2.8%
이 5
 
2.0%
나 5
 
2.0%
동 5
 
2.0%
부 5
 
2.0%
전 4
 
1.6%
Other values (108) 188
74.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 11
 
4.4%
다 8
 
3.2%
관 7
 
2.8%
지 7
 
2.8%
리 7
 
2.8%
이 5
 
2.0%
나 5
 
2.0%
동 5
 
2.0%
부 5
 
2.0%
전 4
 
1.6%
Other values (108) 188
74.6%

일간연관어언급량
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

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 (%)
1 100
100.0%

Length

2024-04-20T06:47:43.851217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T06:47:43.941757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

일간연관어단어량
Real number (ℝ)

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.43
Minimum1
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-20T06:47:44.025436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile40.5
Maximum332
Range331
Interquartile range (IQR)2

Descriptive statistics

Standard deviation37.316353
Coefficient of variation (CV)3.9571954
Kurtosis59.072494
Mean9.43
Median Absolute Deviation (MAD)1
Skewness7.2834386
Sum943
Variance1392.5102
MonotonicityNot monotonic
2024-04-20T06:47:44.128784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 49
49.0%
2 23
23.0%
6 6
 
6.0%
7 4
 
4.0%
3 4
 
4.0%
8 3
 
3.0%
5 3
 
3.0%
67 2
 
2.0%
14 2
 
2.0%
332 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
1 49
49.0%
2 23
23.0%
3 4
 
4.0%
5 3
 
3.0%
6 6
 
6.0%
7 4
 
4.0%
8 3
 
3.0%
14 2
 
2.0%
40 1
 
1.0%
50 1
 
1.0%
ValueCountFrequency (%)
332 1
 
1.0%
149 1
 
1.0%
67 2
 
2.0%
50 1
 
1.0%
40 1
 
1.0%
14 2
 
2.0%
8 3
3.0%
7 4
4.0%
6 6
6.0%
5 3
3.0%

Interactions

2024-04-20T06:47:41.276000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T06:47:41.115458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T06:47:41.351501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T06:47:41.205403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-20T06:47:44.209888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번도메인 하위 카테고리명단어속성명연관어명일간연관어단어량
일간연관어연번1.0000.9940.2210.0000.000
도메인 하위 카테고리명0.9941.0000.0000.0000.000
단어속성명0.2210.0001.0001.0000.229
연관어명0.0000.0001.0001.0001.000
일간연관어단어량0.0000.0000.2291.0001.000
2024-04-20T06:47:44.302306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도메인 하위 카테고리명단어속성명
도메인 하위 카테고리명1.0000.000
단어속성명0.0001.000
2024-04-20T06:47:44.375553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번일간연관어단어량도메인 하위 카테고리명단어속성명
일간연관어연번1.0000.0450.8900.096
일간연관어단어량0.0451.0000.0000.141
도메인 하위 카테고리명0.8900.0001.0000.000
단어속성명0.0960.1410.0001.000

Missing values

2024-04-20T06:47:41.453804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T06:47:41.594468image/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
012021-01-03물환경하천patent장소개화11
122021-01-03물환경하천patent속성견고11
232021-01-03물환경하천patent속성경전12
342021-01-03물환경하천patent라이프관상11
452021-01-03물환경하천patent라이프관절11
562021-01-03물환경하천patent장소광주광역시12
672021-01-03물환경하천patent라이프국화18
782021-01-03물환경하천patent브랜드금호12
892021-01-03물환경하천patent기타급부16
9102021-01-03물환경하천patent기타김대일11
일간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명일간연관어언급량일간연관어단어량
90912021-01-03물환경호소patent속성노화15
91922021-01-03물환경호소patent브랜드동부167
92932021-01-03물환경호소patent엔터테인먼트동화12
93942021-01-03물환경호소patent상품루비11
94952021-01-03물환경호소patent속성리제12
95962021-01-03물환경호소patent기타말리다11
96972021-01-03물환경호소patent기타멈추다114
97982021-01-03물환경호소patent속성모체11
98992021-01-03물환경호소patent라이프물갈이12
991002021-01-03물환경호소patent속성박테리아11