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

Numeric3
Categorical5
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 overall correlated with 일간연관어단어량High correlation
일간연관어단어량 is highly overall correlated with 일간연관어언급량High correlation
일간연관어연번 has unique valuesUnique
연관어명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:03:21.389916
Analysis finished2023-12-10 13:03:22.671680
Duration1.28 second
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
2023-12-10T22:03:22.743065image/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
2023-12-10T22:03:22.876685image/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
2020-01-01
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-01-01
2nd row2020-01-01
3rd row2020-01-01
4th row2020-01-01
5th row2020-01-01

Common Values

ValueCountFrequency (%)
2020-01-01 100
100.0%

Length

2023-12-10T22:03:22.990945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:23.076364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-01-01 100
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

2023-12-10T22:03:23.170361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:23.292334image/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

2023-12-10T22:03:23.414465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:23.497660image/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

2023-12-10T22:03:23.585404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:23.666702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
news 100
100.0%

단어속성명
Categorical

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
속성
33 
기타
27 
라이프
20 
장소
7 
인물
4 
Other values (5)
9 

Length

Max length6
Median length2
Mean length2.32
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
속성 33
33.0%
기타 27
27.0%
라이프 20
20.0%
장소 7
 
7.0%
인물 4
 
4.0%
상품 2
 
2.0%
엔터테인먼트 2
 
2.0%
시간 2
 
2.0%
사회이슈 2
 
2.0%
단체 1
 
1.0%

Length

2023-12-10T22:03:23.777197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:03:23.919692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성 33
33.0%
기타 27
27.0%
라이프 20
20.0%
장소 7
 
7.0%
인물 4
 
4.0%
상품 2
 
2.0%
엔터테인먼트 2
 
2.0%
시간 2
 
2.0%
사회이슈 2
 
2.0%
단체 1
 
1.0%

연관어명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:03:24.222400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.51
Min length2

Characters and Unicode

Total characters251
Distinct characters108
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 row가구
3rd row가꾸다
4th row가난
5th row가라앉다
ValueCountFrequency (%)
가격 1
 
1.0%
개구부 1
 
1.0%
거듭나다 1
 
1.0%
거두다 1
 
1.0%
갱신 1
 
1.0%
갱생 1
 
1.0%
갤러리 1
 
1.0%
객실 1
 
1.0%
개편 1
 
1.0%
개척 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:03:24.733531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 32
 
12.7%
다 17
 
6.8%
강 12
 
4.8%
감 10
 
4.0%
거 8
 
3.2%
건 8
 
3.2%
리 6
 
2.4%
각 6
 
2.4%
개 6
 
2.4%
도 5
 
2.0%
Other values (98) 141
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 32
 
12.7%
다 17
 
6.8%
강 12
 
4.8%
감 10
 
4.0%
거 8
 
3.2%
건 8
 
3.2%
리 6
 
2.4%
각 6
 
2.4%
개 6
 
2.4%
도 5
 
2.0%
Other values (98) 141
56.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 32
 
12.7%
다 17
 
6.8%
강 12
 
4.8%
감 10
 
4.0%
거 8
 
3.2%
건 8
 
3.2%
리 6
 
2.4%
각 6
 
2.4%
개 6
 
2.4%
도 5
 
2.0%
Other values (98) 141
56.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 32
 
12.7%
다 17
 
6.8%
강 12
 
4.8%
감 10
 
4.0%
거 8
 
3.2%
건 8
 
3.2%
리 6
 
2.4%
각 6
 
2.4%
개 6
 
2.4%
도 5
 
2.0%
Other values (98) 141
56.2%

일간연관어언급량
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.73
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:03:24.863745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile13.05
Maximum19
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.9076589
Coefficient of variation (CV)1.0476297
Kurtosis3.5275201
Mean3.73
Median Absolute Deviation (MAD)1
Skewness1.9483943
Sum373
Variance15.269798
MonotonicityNot monotonic
2023-12-10T22:03:24.995278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 39
39.0%
3 14
 
14.0%
4 14
 
14.0%
2 13
 
13.0%
9 4
 
4.0%
10 4
 
4.0%
8 3
 
3.0%
14 2
 
2.0%
5 1
 
1.0%
7 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
1 39
39.0%
2 13
 
13.0%
3 14
 
14.0%
4 14
 
14.0%
5 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
8 3
 
3.0%
9 4
 
4.0%
10 4
 
4.0%
ValueCountFrequency (%)
19 1
 
1.0%
17 1
 
1.0%
15 1
 
1.0%
14 2
2.0%
13 1
 
1.0%
10 4
4.0%
9 4
4.0%
8 3
3.0%
7 1
 
1.0%
6 1
 
1.0%

일간연관어단어량
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.88
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:03:25.127449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36.5
95-th percentile17.3
Maximum68
Range67
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation9.0300061
Coefficient of variation (CV)1.5357153
Kurtosis23.188352
Mean5.88
Median Absolute Deviation (MAD)2
Skewness4.1100664
Sum588
Variance81.54101
MonotonicityNot monotonic
2023-12-10T22:03:25.256981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 34
34.0%
3 14
14.0%
4 13
 
13.0%
2 12
 
12.0%
8 4
 
4.0%
9 3
 
3.0%
15 3
 
3.0%
12 2
 
2.0%
14 2
 
2.0%
17 2
 
2.0%
Other values (9) 11
 
11.0%
ValueCountFrequency (%)
1 34
34.0%
2 12
 
12.0%
3 14
14.0%
4 13
 
13.0%
5 1
 
1.0%
6 1
 
1.0%
8 4
 
4.0%
9 3
 
3.0%
11 1
 
1.0%
12 2
 
2.0%
ValueCountFrequency (%)
68 1
 
1.0%
36 1
 
1.0%
29 1
 
1.0%
23 2
2.0%
17 2
2.0%
16 2
2.0%
15 3
3.0%
14 2
2.0%
13 1
 
1.0%
12 2
2.0%

Interactions

2023-12-10T22:03:22.171816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:21.644811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:21.910481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:22.255805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:21.728689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:21.994466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:22.363632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:21.821291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:03:22.081809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:03:25.352433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번단어속성명연관어명일간연관어언급량일간연관어단어량
일간연관어연번1.0000.3871.0000.4010.285
단어속성명0.3871.0001.0000.2750.000
연관어명1.0001.0001.0001.0001.000
일간연관어언급량0.4010.2751.0001.0000.925
일간연관어단어량0.2850.0001.0000.9251.000
2023-12-10T22:03:25.449601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일간연관어연번일간연관어언급량일간연관어단어량단어속성명
일간연관어연번1.000-0.085-0.0130.124
일간연관어언급량-0.0851.0000.9250.000
일간연관어단어량-0.0130.9251.0000.000
단어속성명0.1240.0000.0001.000

Missing values

2023-12-10T22:03:22.497483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:03:22.622844image/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
012020-01-01물환경물재난news속성가격1415
122020-01-01물환경물재난news상품가구99
232020-01-01물환경물재난news기타가꾸다33
342020-01-01물환경물재난news라이프가난11
452020-01-01물환경물재난news기타가라앉다22
562020-01-01물환경물재난news라이프가루33
672020-01-01물환경물재난news기타가르다11
782020-01-01물환경물재난news기타가리다55
892020-01-01물환경물재난news라이프가문11
9102020-01-01물환경물재난news라이프가뭄917
일간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명일간연관어언급량일간연관어단어량
90912020-01-01물환경물재난news라이프검색창22
91922020-01-01물환경물재난news속성검정11
92932020-01-01물환경물재난news라이프검정고시33
93942020-01-01물환경물재난news단체검찰33
94952020-01-01물환경물재난news기타겁재12
95962020-01-01물환경물재난news시간겨울417
96972020-01-01물환경물재난news기타격리13
97982020-01-01물환경물재난news기타격월11
98992020-01-01물환경물재난news속성견인44
991002020-01-01물환경물재난news인물견훤11