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=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 11:05:57.493974
Analysis finished2023-12-10 11:05:58.449394
Duration0.96 seconds
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
2023-12-10T20:05:58.651910image/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
2023-12-10T20:05:58.907191image/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
Minimum2021-04-05 00:00:00
Maximum2021-04-05 00:00:00
2023-12-10T20:05:59.089827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:05:59.240020image/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

2023-12-10T20:05:59.400295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:59.624223image/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

2023-12-10T20:05:59.815833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:59.969294image/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

2023-12-10T20:06:00.147414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:00.320128image/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
33 
라이프
25 
기타
22 
장소
9 
상품
4 
Other values (3)
7 

Length

Max length6
Median length2
Mean length2.33
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row장소
2nd row사회이슈
3rd row기타
4th row라이프
5th row기타

Common Values

ValueCountFrequency (%)
속성 33
33.0%
라이프 25
25.0%
기타 22
22.0%
장소 9
 
9.0%
상품 4
 
4.0%
인물 4
 
4.0%
사회이슈 2
 
2.0%
엔터테인먼트 1
 
1.0%

Length

2023-12-10T20:06:00.578163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:00.855109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성 33
33.0%
라이프 25
25.0%
기타 22
22.0%
장소 9
 
9.0%
상품 4
 
4.0%
인물 4
 
4.0%
사회이슈 2
 
2.0%
엔터테인먼트 1
 
1.0%

연관어명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:06:01.362904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.47
Min length2

Characters and Unicode

Total characters247
Distinct characters99
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 row가꾸다
4th row가난
5th row가내수공업
ValueCountFrequency (%)
4대강 1
 
1.0%
강구 1
 
1.0%
강우 1
 
1.0%
강연 1
 
1.0%
강아지 1
 
1.0%
강수일 1
 
1.0%
강수량 1
 
1.0%
강수 1
 
1.0%
강성 1
 
1.0%
강상 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T20:06:02.102928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 30
 
12.1%
강 29
 
11.7%
감 13
 
5.3%
간 13
 
5.3%
개 11
 
4.5%
다 9
 
3.6%
지 6
 
2.4%
척 5
 
2.0%
사 5
 
2.0%
구 5
 
2.0%
Other values (89) 121
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
99.2%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 30
 
12.2%
강 29
 
11.8%
감 13
 
5.3%
간 13
 
5.3%
개 11
 
4.5%
다 9
 
3.7%
지 6
 
2.4%
척 5
 
2.0%
사 5
 
2.0%
구 5
 
2.0%
Other values (88) 119
48.6%
Decimal Number
ValueCountFrequency (%)
4 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
99.2%
Common 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 30
 
12.2%
강 29
 
11.8%
감 13
 
5.3%
간 13
 
5.3%
개 11
 
4.5%
다 9
 
3.7%
지 6
 
2.4%
척 5
 
2.0%
사 5
 
2.0%
구 5
 
2.0%
Other values (88) 119
48.6%
Common
ValueCountFrequency (%)
4 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
99.2%
ASCII 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 30
 
12.2%
강 29
 
11.8%
감 13
 
5.3%
간 13
 
5.3%
개 11
 
4.5%
다 9
 
3.7%
지 6
 
2.4%
척 5
 
2.0%
사 5
 
2.0%
구 5
 
2.0%
Other values (88) 119
48.6%
ASCII
ValueCountFrequency (%)
4 2
100.0%

주간연관어언급량
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
75 
2
16 
3
 
4
4
 
3
6
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 75
75.0%
2 16
 
16.0%
3 4
 
4.0%
4 3
 
3.0%
6 2
 
2.0%

Length

2023-12-10T20:06:02.350382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:02.514953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
75.0%
2 16
 
16.0%
3 4
 
4.0%
4 3
 
3.0%
6 2
 
2.0%

Interactions

2023-12-10T20:05:57.888449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:06:02.638440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간연관어연번단어속성명연관어명주간연관어언급량
주간연관어연번1.0000.2931.0000.000
단어속성명0.2931.0001.0000.063
연관어명1.0001.0001.0001.000
주간연관어언급량0.0000.0631.0001.000
2023-12-10T20:06:02.803836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단어속성명주간연관어언급량
단어속성명1.0000.026
주간연관어언급량0.0261.000
2023-12-10T20:06:02.937264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간연관어연번단어속성명주간연관어언급량
주간연관어연번1.0000.1390.000
단어속성명0.1391.0000.026
주간연관어언급량0.0000.0261.000

Missing values

2023-12-10T20:05:58.087054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:05:58.354690image/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
012021-04-05물환경물재난All장소4대강1
122021-04-05물환경물재난All사회이슈4대강사업1
232021-04-05물환경물재난All기타가꾸다2
342021-04-05물환경물재난All라이프가난4
452021-04-05물환경물재난All기타가내수공업1
562021-04-05물환경물재난All라이프가로수1
672021-04-05물환경물재난All기타가로지르다1
782021-04-05물환경물재난All기타가르치다1
892021-04-05물환경물재난All기타가리다1
9102021-04-05물환경물재난All속성가물막이1
주간연관어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명단어속성명연관어명주간연관어언급량
90912021-04-05물환경물재난All기타개근1
91922021-04-05물환경물재난All사회이슈개막식1
92932021-04-05물환경물재난All속성개성1
93942021-04-05물환경물재난All기타개질1
94952021-04-05물환경물재난All속성개척2
95962021-04-05물환경물재난All기타개척단1
96972021-04-05물환경물재난All라이프개척자2
97982021-04-05물환경물재난All속성개포1
98992021-04-05물환경물재난All라이프갱구1
991002021-04-05물환경물재난All기타거닐다1