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
DateTime1
Categorical4
Text1

Dataset

Description샘플 데이터
Author성균관대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=fdecf030-2fd3-11ea-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
주간감성어연번 has unique valuesUnique
감성어명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 15:32:38.877500
Analysis finished2024-04-21 15:32:40.176108
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주간감성어연번
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
2024-04-22T00:32:40.312277image/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
2024-04-22T00:32:40.579420image/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 size928.0 B
Minimum2021-01-04 00:00:00
Maximum2021-01-04 00:00:00
2024-04-22T00:32:40.777964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:32:40.932613image/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 size928.0 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

2024-04-22T00:32:41.118278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:32:41.279754image/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 size928.0 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

2024-04-22T00:32:41.451950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:32:41.613432image/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 size928.0 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

2024-04-22T00:32:41.773924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:32:41.930467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
all 100
100.0%

감성어명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2024-04-22T00:32:42.890576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.63
Min length2

Characters and Unicode

Total characters263
Distinct characters127
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 row가깝다
2nd row가꾸다
3rd row가난
4th row가르침
5th row가엽다
ValueCountFrequency (%)
가깝다 1
 
1.0%
급등 1
 
1.0%
꼬락서니 1
 
1.0%
꺼리다 1
 
1.0%
깨지다 1
 
1.0%
깨뜨리다 1
 
1.0%
깨달음 1
 
1.0%
깨닫다 1
 
1.0%
기쁨 1
 
1.0%
기쁘다 1
 
1.0%
Other values (90) 90
90.0%
2024-04-22T00:32:44.144788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 35
 
13.3%
고 12
 
4.6%
가 9
 
3.4%
감 7
 
2.7%
리 6
 
2.3%
거 6
 
2.3%
치 5
 
1.9%
대 5
 
1.9%
지 5
 
1.9%
깨 4
 
1.5%
Other values (117) 169
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 35
 
13.3%
고 12
 
4.6%
가 9
 
3.4%
감 7
 
2.7%
리 6
 
2.3%
거 6
 
2.3%
치 5
 
1.9%
대 5
 
1.9%
지 5
 
1.9%
깨 4
 
1.5%
Other values (117) 169
64.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 35
 
13.3%
고 12
 
4.6%
가 9
 
3.4%
감 7
 
2.7%
리 6
 
2.3%
거 6
 
2.3%
치 5
 
1.9%
대 5
 
1.9%
지 5
 
1.9%
깨 4
 
1.5%
Other values (117) 169
64.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 35
 
13.3%
고 12
 
4.6%
가 9
 
3.4%
감 7
 
2.7%
리 6
 
2.3%
거 6
 
2.3%
치 5
 
1.9%
대 5
 
1.9%
지 5
 
1.9%
깨 4
 
1.5%
Other values (117) 169
64.3%

감성타입
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
n
60 
p
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowp
2nd rowp
3rd rown
4th rowp
5th rown

Common Values

ValueCountFrequency (%)
n 60
60.0%
p 40
40.0%

Length

2024-04-22T00:32:44.360041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:32:44.647938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 60
60.0%
p 40
40.0%

주간감성어언급량
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.15
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T00:32:44.946862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile14.2
Maximum39
Range38
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.1895562
Coefficient of variation (CV)1.4914593
Kurtosis14.612495
Mean4.15
Median Absolute Deviation (MAD)1
Skewness3.5844638
Sum415
Variance38.310606
MonotonicityNot monotonic
2024-04-22T00:32:45.346287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 38
38.0%
2 20
20.0%
3 11
 
11.0%
4 11
 
11.0%
5 3
 
3.0%
6 3
 
3.0%
8 2
 
2.0%
11 2
 
2.0%
24 1
 
1.0%
7 1
 
1.0%
Other values (8) 8
 
8.0%
ValueCountFrequency (%)
1 38
38.0%
2 20
20.0%
3 11
 
11.0%
4 11
 
11.0%
5 3
 
3.0%
6 3
 
3.0%
7 1
 
1.0%
8 2
 
2.0%
9 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
39 1
1.0%
32 1
1.0%
24 1
1.0%
23 1
1.0%
18 1
1.0%
14 1
1.0%
13 1
1.0%
11 2
2.0%
10 1
1.0%
9 1
1.0%

Interactions

2024-04-22T00:32:39.495259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:32:39.200997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:32:39.646950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:32:39.338602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T00:32:45.609963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간감성어연번감성어명감성타입주간감성어언급량
주간감성어연번1.0001.0000.3350.197
감성어명1.0001.0001.0001.000
감성타입0.3351.0001.0000.164
주간감성어언급량0.1971.0000.1641.000
2024-04-22T00:32:45.858090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간감성어연번주간감성어언급량감성타입
주간감성어연번1.000-0.1610.244
주간감성어언급량-0.1611.0000.155
감성타입0.2440.1551.000

Missing values

2024-04-22T00:32:39.865854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T00:32:40.089113image/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

주간감성어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명감성어명감성타입주간감성어언급량
012021-01-04물환경물재난All가깝다p5
122021-01-04물환경물재난All가꾸다p2
232021-01-04물환경물재난All가난n11
342021-01-04물환경물재난All가르침p3
452021-01-04물환경물재난All가엽다n1
562021-01-04물환경물재난All가증n1
672021-01-04물환경물재난All가짜n4
782021-01-04물환경물재난All가치p39
892021-01-04물환경물재난All간신배n1
9102021-01-04물환경물재난All감격p2
주간감성어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명감성어명감성타입주간감성어언급량
90912021-01-04물환경물재난All놓치다n4
91922021-01-04물환경물재난All눈물n7
92932021-01-04물환경물재난All다치다n1
93942021-01-04물환경물재난All다투다n3
94952021-01-04물환경물재난All단호박n1
95962021-01-04물환경물재난All달래다p2
96972021-01-04물환경물재난All당하다n8
97982021-01-04물환경물재난All대가p3
98992021-01-04물환경물재난All대상p24
991002021-01-04물환경물재난All대접p2