Data
depression

depression

active ARFF GPL 2 Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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Context Hi, The original Dataset wad published by Frankcc in the following link: Link Kaggle The dataset is involved into the analysis of depression. The data was consists as a study about the life conditions of people who live in rurales zones. Because all the columns were not explicated in this challenge so We cant understand them. We proceded to delete them or ignoring. Fhe final features or columns were the following: Content Surveyid Villeid sex Age Married Numberchildren educationlevel totalmembers (in the family) gainedasset durableasset saveasset livingexpenses otherexpenses incomingsalary incomingownfarm incomingbusiness incomingnobusiness incomingagricultural farmexpenses laborprimary lastinginvestment nolastinginvestmen depressed: [ Zero: No depressed] or [One: depressed] (Binary for target class) the main objective is to show statistic analysis and some data mining techniques. The dataset has 23 columns or dimensions and a total of 1432 rows or objects. Acknowledgements The original attribution is to Frankcc i Inspiration

23 features

Survey_idnumeric1429 unique values
0 missing
Ville_idnumeric255 unique values
0 missing
sexnumeric2 unique values
0 missing
Agenumeric71 unique values
0 missing
Marriednumeric2 unique values
0 missing
Number_childrennumeric12 unique values
0 missing
education_levelnumeric18 unique values
0 missing
total_membersnumeric12 unique values
0 missing
gained_assetnumeric441 unique values
0 missing
durable_assetnumeric590 unique values
0 missing
save_assetnumeric268 unique values
0 missing
living_expensesnumeric411 unique values
0 missing
other_expensesnumeric615 unique values
0 missing
incoming_salarynumeric2 unique values
0 missing
incoming_own_farmnumeric2 unique values
0 missing
incoming_businessnumeric2 unique values
0 missing
incoming_no_businessnumeric2 unique values
0 missing
incoming_agriculturalnumeric330 unique values
0 missing
farm_expensesnumeric694 unique values
0 missing
labor_primarynumeric2 unique values
0 missing
lasting_investmentnumeric982 unique values
0 missing
no_lasting_investmennumeric939 unique values
20 missing
depressednumeric2 unique values
0 missing

19 properties

1429
Number of instances (rows) of the dataset.
23
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
20
Number of missing values in the dataset.
20
Number of instances with at least one value missing.
23
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
1.4
Percentage of instances having missing values.
0.06
Percentage of missing values.
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0.02
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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