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 started2023-12-10 13:13:16.565574
Analysis finished2023-12-10 13:13:18.241117
Duration1.68 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
2023-12-10T22:13:18.447543image/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
2023-12-10T22:13:18.794462image/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
2023-12-10T22:13:19.070817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:13:19.240453image/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

2023-12-10T22:13:19.849339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:13:20.081524image/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

2023-12-10T22:13:20.375670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:13:20.559455image/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

2023-12-10T22:13:20.741943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:13:20.938911image/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 size932.0 B
2023-12-10T22:13:21.520631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.6
Min length2

Characters and Unicode

Total characters260
Distinct characters139
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 row가짜
ValueCountFrequency (%)
가깝다 1
 
1.0%
대가 1
 
1.0%
뛰어나다 1
 
1.0%
두렵다 1
 
1.0%
두려움 1
 
1.0%
동남 1
 
1.0%
돌보다 1
 
1.0%
독해 1
 
1.0%
독하다 1
 
1.0%
독감 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:13:22.388577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 39
 
15.0%
고 8
 
3.1%
감 7
 
2.7%
가 7
 
2.7%
부 5
 
1.9%
기 5
 
1.9%
하 4
 
1.5%
움 3
 
1.2%
독 3
 
1.2%
치 3
 
1.2%
Other values (129) 176
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 39
 
15.0%
고 8
 
3.1%
감 7
 
2.7%
가 7
 
2.7%
부 5
 
1.9%
기 5
 
1.9%
하 4
 
1.5%
움 3
 
1.2%
독 3
 
1.2%
치 3
 
1.2%
Other values (129) 176
67.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 39
 
15.0%
고 8
 
3.1%
감 7
 
2.7%
가 7
 
2.7%
부 5
 
1.9%
기 5
 
1.9%
하 4
 
1.5%
움 3
 
1.2%
독 3
 
1.2%
치 3
 
1.2%
Other values (129) 176
67.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 39
 
15.0%
고 8
 
3.1%
감 7
 
2.7%
가 7
 
2.7%
부 5
 
1.9%
기 5
 
1.9%
하 4
 
1.5%
움 3
 
1.2%
독 3
 
1.2%
치 3
 
1.2%
Other values (129) 176
67.7%

감성타입
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
n
55 
p
45 

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 55
55.0%
p 45
45.0%

Length

2023-12-10T22:13:22.601413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:13:22.776876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 55
55.0%
p 45
45.0%

주간감성어언급량
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.39
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:13:23.014461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.25
95-th percentile8.1
Maximum17
Range16
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.8423031
Coefficient of variation (CV)1.1892482
Kurtosis12.088484
Mean2.39
Median Absolute Deviation (MAD)0
Skewness3.3572936
Sum239
Variance8.0786869
MonotonicityNot monotonic
2023-12-10T22:13:23.280714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 54
54.0%
2 21
 
21.0%
3 11
 
11.0%
4 6
 
6.0%
14 2
 
2.0%
6 2
 
2.0%
11 1
 
1.0%
8 1
 
1.0%
17 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
1 54
54.0%
2 21
 
21.0%
3 11
 
11.0%
4 6
 
6.0%
6 2
 
2.0%
8 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
14 2
 
2.0%
17 1
 
1.0%
ValueCountFrequency (%)
17 1
 
1.0%
14 2
 
2.0%
11 1
 
1.0%
10 1
 
1.0%
8 1
 
1.0%
6 2
 
2.0%
4 6
 
6.0%
3 11
 
11.0%
2 21
 
21.0%
1 54
54.0%

Interactions

2023-12-10T22:13:17.386880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:13:17.021737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:13:17.556292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:13:17.228358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:13:23.434619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간감성어연번감성어명감성타입주간감성어언급량
주간감성어연번1.0001.0000.2490.000
감성어명1.0001.0001.0001.000
감성타입0.2491.0001.0000.277
주간감성어언급량0.0001.0000.2771.000
2023-12-10T22:13:23.624999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주간감성어연번주간감성어언급량감성타입
주간감성어연번1.000-0.1910.181
주간감성어언급량-0.1911.0000.200
감성타입0.1810.2001.000

Missing values

2023-12-10T22:13:17.854068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:13:18.141552image/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
012021-04-05물환경물재난All가깝다p3
122021-04-05물환경물재난All가꾸다p2
232021-04-05물환경물재난All가난n4
342021-04-05물환경물재난All가르침p3
452021-04-05물환경물재난All가짜n1
562021-04-05물환경물재난All가치p14
672021-04-05물환경물재난All감기n1
782021-04-05물환경물재난All감동p4
892021-04-05물환경물재난All감사p11
9102021-04-05물환경물재난All감옥n1
주간감성어연번연월일환경플랫폼 하위 도메인명도메인 하위 카테고리명SNS 채널명감성어명감성타입주간감성어언급량
90912021-04-05물환경물재난All바르다p3
91922021-04-05물환경물재난All바보n1
92932021-04-05물환경물재난All반갑다p2
93942021-04-05물환경물재난All배우다p2
94952021-04-05물환경물재난All베풀다p2
95962021-04-05물환경물재난All보살피다p1
96972021-04-05물환경물재난All부럽다p1
97982021-04-05물환경물재난All부실n2
98992021-04-05물환경물재난All부적합n1
991002021-04-05물환경물재난All부지런p1