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=f0997ad0-e841-11ea-a0ba-57da34c93da2

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 is highly imbalanced (63.4%)Imbalance
일간연관어연번 has unique valuesUnique
연관어명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:03:05.798760
Analysis finished2023-12-10 13:03:06.779403
Duration0.98 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
2023-12-10T22:03:06.854111image/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
2023-12-10T22:03:07.008878image/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
2021-04-01
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-04-01
2nd row2021-04-01
3rd row2021-04-01
4th row2021-04-01
5th row2021-04-01

Common Values

ValueCountFrequency (%)
2021-04-01 100
100.0%

Length

2023-12-10T22:03:07.168459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:07.253238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-04-01 100
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

2023-12-10T22:03:07.339682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:07.424542image/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

2023-12-10T22:03:07.532706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:07.612888image/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
news
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
news 100
100.0%

Length

2023-12-10T22:03:07.699799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:07.805640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
news 100
100.0%

단어속성명
Categorical

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
속성
37 
라이프
27 
장소
15 
기타
6 
단체
4 
Other values (6)
11 

Length

Max length6
Median length2
Mean length2.43
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
속성 37
37.0%
라이프 27
27.0%
장소 15
15.0%
기타 6
 
6.0%
단체 4
 
4.0%
엔터테인먼트 3
 
3.0%
브랜드 2
 
2.0%
상품 2
 
2.0%
인물 2
 
2.0%
사회이슈 1
 
1.0%

Length

2023-12-10T22:03:07.988151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
속성 37
37.0%
라이프 27
27.0%
장소 15
15.0%
기타 6
 
6.0%
단체 4
 
4.0%
엔터테인먼트 3
 
3.0%
브랜드 2
 
2.0%
상품 2
 
2.0%
인물 2
 
2.0%
사회이슈 1
 
1.0%

연관어명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:03:08.340344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.48
Min length2

Characters and Unicode

Total characters248
Distinct characters129
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 row가계
2nd row가꾸다
3rd row가난
4th row가독성
5th row가루
ValueCountFrequency (%)
가계 1
 
1.0%
공익 1
 
1.0%
광택 1
 
1.0%
광주시 1
 
1.0%
광주 1
 
1.0%
광산 1
 
1.0%
관리자 1
 
1.0%
관념 1
 
1.0%
관광지 1
 
1.0%
과오 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:03:08.849438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 11
 
4.4%
경 11
 
4.4%
고 11
 
4.4%
구 8
 
3.2%
공 6
 
2.4%
성 5
 
2.0%
광 5
 
2.0%
강 5
 
2.0%
자 5
 
2.0%
국 5
 
2.0%
Other values (119) 176
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 11
 
4.4%
경 11
 
4.4%
고 11
 
4.4%
구 8
 
3.2%
공 6
 
2.4%
성 5
 
2.0%
광 5
 
2.0%
강 5
 
2.0%
자 5
 
2.0%
국 5
 
2.0%
Other values (119) 176
71.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 11
 
4.4%
경 11
 
4.4%
고 11
 
4.4%
구 8
 
3.2%
공 6
 
2.4%
성 5
 
2.0%
광 5
 
2.0%
강 5
 
2.0%
자 5
 
2.0%
국 5
 
2.0%
Other values (119) 176
71.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 11
 
4.4%
경 11
 
4.4%
고 11
 
4.4%
구 8
 
3.2%
공 6
 
2.4%
성 5
 
2.0%
광 5
 
2.0%
강 5
 
2.0%
자 5
 
2.0%
국 5
 
2.0%
Other values (119) 176
71.0%

일간연관어언급량
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
93 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 93
93.0%
2 7
 
7.0%

Length

2023-12-10T22:03:09.026133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:09.131237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
93.0%
2 7
 
7.0%

일간연관어단어량
Real number (ℝ)

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.02
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:03:09.208891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6.05
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8693703
Coefficient of variation (CV)0.92543086
Kurtosis4.661269
Mean2.02
Median Absolute Deviation (MAD)0
Skewness2.2424388
Sum202
Variance3.4945455
MonotonicityNot monotonic
2023-12-10T22:03:09.319625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 63
63.0%
2 16
 
16.0%
4 6
 
6.0%
3 5
 
5.0%
5 3
 
3.0%
6 2
 
2.0%
8 2
 
2.0%
9 2
 
2.0%
7 1
 
1.0%
ValueCountFrequency (%)
1 63
63.0%
2 16
 
16.0%
3 5
 
5.0%
4 6
 
6.0%
5 3
 
3.0%
6 2
 
2.0%
7 1
 
1.0%
8 2
 
2.0%
9 2
 
2.0%
ValueCountFrequency (%)
9 2
 
2.0%
8 2
 
2.0%
7 1
 
1.0%
6 2
 
2.0%
5 3
 
3.0%
4 6
 
6.0%
3 5
 
5.0%
2 16
 
16.0%
1 63
63.0%

Interactions

2023-12-10T22:03:06.299132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:06.095010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:06.419168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:06.186915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:03:09.412440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번단어속성명연관어명일간연관어언급량일간연관어단어량
일간연관어연번1.0000.3421.0000.2540.000
단어속성명0.3421.0001.0000.0000.274
연관어명1.0001.0001.0001.0001.000
일간연관어언급량0.2540.0001.0001.0000.445
일간연관어단어량0.0000.2741.0000.4451.000
2023-12-10T22:03:09.787998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어언급량단어속성명
일간연관어언급량1.0000.000
단어속성명0.0001.000
2023-12-10T22:03:09.883256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번일간연관어단어량단어속성명일간연관어언급량
일간연관어연번1.0000.0550.1480.184
일간연관어단어량0.0551.0000.1210.429
단어속성명0.1480.1211.0000.000
일간연관어언급량0.1840.4290.0001.000

Missing values

2023-12-10T22:03:06.580595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:03:06.724083image/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
012021-04-01물환경물재난news라이프가계11
122021-04-01물환경물재난news기타가꾸다23
232021-04-01물환경물재난news라이프가난12
342021-04-01물환경물재난news속성가독성11
452021-04-01물환경물재난news라이프가루22
562021-04-01물환경물재난news속성가설22
672021-04-01물환경물재난news엔터테인먼트가슴앓이11
782021-04-01물환경물재난news속성가시11
892021-04-01물환경물재난news브랜드가이던스11
9102021-04-01물환경물재난news속성가이드라인13
일간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명일간연관어언급량일간연관어단어량
90912021-04-01물환경물재난news속성궤도11
91922021-04-01물환경물재난news속성귀감13
92932021-04-01물환경물재난news라이프귀결11
93942021-04-01물환경물재난news속성규격11
94952021-04-01물환경물재난news속성그래픽12
95962021-04-01물환경물재난news속성그래핀11
96972021-04-01물환경물재난news라이프근무22
97982021-04-01물환경물재난news속성글씨12
98992021-04-01물환경물재난news속성글자11
991002021-04-01물환경물재난news라이프금리11