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

Numeric2
Categorical5
Text1

Dataset

Description샘플 데이터
Author성균관대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=94072cf0-2fd1-11ea-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
주간연관어연번 has unique valuesUnique
연관어명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:06:27.323840
Analysis finished2023-12-10 11:06:28.826098
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주간연관어연번
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
2023-12-10T20:06:29.093346image/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
2023-12-10T20:06:29.425261image/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
2020-10-05
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-05
2nd row2020-10-05
3rd row2020-10-05
4th row2020-10-05
5th row2020-10-05

Common Values

ValueCountFrequency (%)
2020-10-05 100
100.0%

Length

2023-12-10T20:06:29.674531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:29.862158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-05 100
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

2023-12-10T20:06:30.039597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:30.208636image/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

2023-12-10T20:06:30.384157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:30.559335image/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

2023-12-10T20:06:30.748982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:30.914071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
all 100
100.0%

단어속성명
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
속성
34 
기타
22 
장소
17 
라이프
16 
상품
4 
Other values (4)
7 

Length

Max length4
Median length2
Mean length2.2
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
속성 34
34.0%
기타 22
22.0%
장소 17
17.0%
라이프 16
16.0%
상품 4
 
4.0%
인물 3
 
3.0%
사회이슈 2
 
2.0%
시간 1
 
1.0%
단체 1
 
1.0%

Length

2023-12-10T20:06:31.120422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:31.380525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성 34
34.0%
기타 22
22.0%
장소 17
17.0%
라이프 16
16.0%
상품 4
 
4.0%
인물 3
 
3.0%
사회이슈 2
 
2.0%
시간 1
 
1.0%
단체 1
 
1.0%

연관어명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:06:31.927160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.64
Min length2

Characters and Unicode

Total characters264
Distinct characters110
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row4대강
2nd row4대강사업
3rd row가격
4th row가경
5th row가고시마
ValueCountFrequency (%)
4대강 1
 
1.0%
감치 1
 
1.0%
강변로 1
 
1.0%
강변 1
 
1.0%
강릉 1
 
1.0%
강동구 1
 
1.0%
강동 1
 
1.0%
강구 1
 
1.0%
강교 1
 
1.0%
갑오징어 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T20:06:33.100419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 37
 
14.0%
강 29
 
11.0%
감 15
 
5.7%
다 12
 
4.5%
간 6
 
2.3%
리 5
 
1.9%
개 5
 
1.9%
수 5
 
1.9%
구 5
 
1.9%
각 4
 
1.5%
Other values (100) 141
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
99.2%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 37
 
14.1%
강 29
 
11.1%
감 15
 
5.7%
다 12
 
4.6%
간 6
 
2.3%
리 5
 
1.9%
개 5
 
1.9%
수 5
 
1.9%
구 5
 
1.9%
각 4
 
1.5%
Other values (99) 139
53.1%
Decimal Number
ValueCountFrequency (%)
4 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
99.2%
Common 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 37
 
14.1%
강 29
 
11.1%
감 15
 
5.7%
다 12
 
4.6%
간 6
 
2.3%
리 5
 
1.9%
개 5
 
1.9%
수 5
 
1.9%
구 5
 
1.9%
각 4
 
1.5%
Other values (99) 139
53.1%
Common
ValueCountFrequency (%)
4 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
99.2%
ASCII 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 37
 
14.1%
강 29
 
11.1%
감 15
 
5.7%
다 12
 
4.6%
간 6
 
2.3%
리 5
 
1.9%
개 5
 
1.9%
수 5
 
1.9%
구 5
 
1.9%
각 4
 
1.5%
Other values (99) 139
53.1%
ASCII
ValueCountFrequency (%)
4 2
100.0%

주간연관어언급량
Real number (ℝ)

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.92
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:33.387452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile16.2
Maximum40
Range39
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.5515516
Coefficient of variation (CV)1.3316162
Kurtosis10.747586
Mean4.92
Median Absolute Deviation (MAD)2
Skewness3.0048597
Sum492
Variance42.922828
MonotonicityNot monotonic
2023-12-10T20:06:33.674460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 36
36.0%
3 14
 
14.0%
2 11
 
11.0%
4 9
 
9.0%
6 6
 
6.0%
5 4
 
4.0%
8 4
 
4.0%
7 2
 
2.0%
15 2
 
2.0%
9 2
 
2.0%
Other values (9) 10
 
10.0%
ValueCountFrequency (%)
1 36
36.0%
2 11
 
11.0%
3 14
 
14.0%
4 9
 
9.0%
5 4
 
4.0%
6 6
 
6.0%
7 2
 
2.0%
8 4
 
4.0%
9 2
 
2.0%
10 1
 
1.0%
ValueCountFrequency (%)
40 1
1.0%
31 1
1.0%
26 1
1.0%
22 1
1.0%
20 1
1.0%
16 1
1.0%
15 2
2.0%
14 2
2.0%
13 1
1.0%
10 1
1.0%

Interactions

2023-12-10T20:06:28.045876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:27.657370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:28.209958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:27.860680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:06:33.842186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간연관어연번단어속성명연관어명주간연관어언급량
주간연관어연번1.0000.2851.0000.184
단어속성명0.2851.0001.0000.718
연관어명1.0001.0001.0001.000
주간연관어언급량0.1840.7181.0001.000
2023-12-10T20:06:34.013719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간연관어연번주간연관어언급량단어속성명
주간연관어연번1.000-0.0530.129
주간연관어언급량-0.0531.0000.303
단어속성명0.1290.3031.000

Missing values

2023-12-10T20:06:28.455009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:06:28.717048image/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

주간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명주간연관어언급량
012020-10-05물환경물재난All장소4대강22
122020-10-05물환경물재난All사회이슈4대강사업3
232020-10-05물환경물재난All속성가격15
342020-10-05물환경물재난All속성가경2
452020-10-05물환경물재난All장소가고시마3
562020-10-05물환경물재난All상품가구8
672020-10-05물환경물재난All기타가꾸다2
782020-10-05물환경물재난All라이프가난3
892020-10-05물환경물재난All기타가두다6
9102020-10-05물환경물재난All장소가락동1
주간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명주간연관어언급량
90912020-10-05물환경물재난All속성강타6
91922020-10-05물환경물재난All인물강태공2
92932020-10-05물환경물재난All인물강태풍1
93942020-10-05물환경물재난All속성강행1
94952020-10-05물환경물재난All기타갖추다7
95962020-10-05물환경물재난All속성개각1
96972020-10-05물환경물재난All속성개구리1
97982020-10-05물환경물재난All속성개나리1
98992020-10-05물환경물재난All속성개성3
991002020-10-05물환경물재난All속성개수6