Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory67.3 B

Variable types

Numeric1
DateTime1
Categorical5
Text1

Dataset

Description샘플 데이터
Author성균관대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=0d7f33b0-2fce-11ea-94b6-73a02796bba4

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
일간연관어연번 has unique valuesUnique
연관어명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:43:01.132603
Analysis finished2023-12-10 12:43:01.665630
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일간연관어연번
Real number (ℝ)

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
2023-12-10T21:43:01.748071image/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
2023-12-10T21:43:02.009274image/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
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-10-01 00:00:00
Maximum2020-10-01 00:00:00
2023-12-10T21:43:02.124634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:43:02.213191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

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

2023-12-10T21:43:02.343416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:43:02.430785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물환경 100
100.0%

도메인 하위 카테고리명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물재난 100
100.0%

Length

2023-12-10T21:43:02.522497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:43:02.609810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물재난 100
100.0%

SNS 채널명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
All 100
100.0%

Length

2023-12-10T21:43:02.720087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:43:02.824878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
all 100
100.0%

단어속성명
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
속성
38 
라이프
31 
기타
12 
장소
11 
인물
4 
Other values (3)
4 

Length

Max length3
Median length2
Mean length2.32
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
속성 38
38.0%
라이프 31
31.0%
기타 12
 
12.0%
장소 11
 
11.0%
인물 4
 
4.0%
상품 2
 
2.0%
시간 1
 
1.0%
브랜드 1
 
1.0%

Length

2023-12-10T21:43:03.168620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:43:03.290375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성 38
38.0%
라이프 31
31.0%
기타 12
 
12.0%
장소 11
 
11.0%
인물 4
 
4.0%
상품 2
 
2.0%
시간 1
 
1.0%
브랜드 1
 
1.0%

연관어명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:43:03.579049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.41
Min length2

Characters and Unicode

Total characters241
Distinct characters124
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

Unique100 ?
Unique (%)100.0%

Sample

1st row가격
2nd row가뭄
3rd row가스
4th row가정
5th row가족
ValueCountFrequency (%)
가격 1
 
1.0%
기후변화 1
 
1.0%
낙수 1
 
1.0%
나타나다 1
 
1.0%
나오다 1
 
1.0%
나무 1
 
1.0%
끝자락 1
 
1.0%
끝나다 1
 
1.0%
껍질 1
 
1.0%
꺼지다 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T21:43:04.068997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 10
 
4.1%
다 10
 
4.1%
공 9
 
3.7%
가 8
 
3.3%
노 7
 
2.9%
리 6
 
2.5%
국 6
 
2.5%
농 5
 
2.1%
나 5
 
2.1%
관 5
 
2.1%
Other values (114) 170
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10
 
4.1%
다 10
 
4.1%
공 9
 
3.7%
가 8
 
3.3%
노 7
 
2.9%
리 6
 
2.5%
국 6
 
2.5%
농 5
 
2.1%
나 5
 
2.1%
관 5
 
2.1%
Other values (114) 170
70.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10
 
4.1%
다 10
 
4.1%
공 9
 
3.7%
가 8
 
3.3%
노 7
 
2.9%
리 6
 
2.5%
국 6
 
2.5%
농 5
 
2.1%
나 5
 
2.1%
관 5
 
2.1%
Other values (114) 170
70.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 10
 
4.1%
다 10
 
4.1%
공 9
 
3.7%
가 8
 
3.3%
노 7
 
2.9%
리 6
 
2.5%
국 6
 
2.5%
농 5
 
2.1%
나 5
 
2.1%
관 5
 
2.1%
Other values (114) 170
70.5%

일간연관어언급량
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
76 
2
20 
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 76
76.0%
2 20
 
20.0%
3 4
 
4.0%

Length

2023-12-10T21:43:04.217655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:43:04.319321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
76.0%
2 20
 
20.0%
3 4
 
4.0%

Interactions

2023-12-10T21:43:01.355693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:43:04.396868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번단어속성명연관어명일간연관어언급량
일간연관어연번1.0000.1671.0000.000
단어속성명0.1671.0001.0000.284
연관어명1.0001.0001.0001.000
일간연관어언급량0.0000.2841.0001.000
2023-12-10T21:43:04.499982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어언급량단어속성명
일간연관어언급량1.0000.181
단어속성명0.1811.000
2023-12-10T21:43:04.604886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번단어속성명일간연관어언급량
일간연관어연번1.0000.0730.000
단어속성명0.0731.0000.181
일간연관어언급량0.0000.1811.000

Missing values

2023-12-10T21:43:01.462036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:43:01.604064image/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 채널명단어속성명연관어명일간연관어언급량
012020-10-01물환경물재난All속성가격1
122020-10-01물환경물재난All라이프가뭄1
232020-10-01물환경물재난All속성가스3
342020-10-01물환경물재난All라이프가정1
452020-10-01물환경물재난All라이프가족1
562020-10-01물환경물재난All기타감추다1
672020-10-01물환경물재난All장소강릉1
782020-10-01물환경물재난All속성강수1
892020-10-01물환경물재난All속성강타1
9102020-10-01물환경물재난All인물개리1
일간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명일간연관어언급량
90912020-10-01물환경물재난All라이프농사1
91922020-10-01물환경물재난All라이프농업1
92932020-10-01물환경물재난All라이프농장2
93942020-10-01물환경물재난All장소농지1
94952020-10-01물환경물재난All속성높이다1
95962020-10-01물환경물재난All속성누리다1
96972020-10-01물환경물재난All기타누수3
97982020-10-01물환경물재난All속성단계1
98992020-10-01물환경물재난All속성단열1
991002020-10-01물환경물재난All속성담수1