Kaggle data analysis using Multivariate Analysis
• EDA
• Analysis
• May 10 (Wed) : Submit your data including data description
• May 22 (Mon) : Submit EDA and a brief plan for your analysis
• June 7 (Wed) 18:30 ~ 21:00 Final Exam (Posco 462)
• June 14 (Mon) : Submit your slides and final report
• June 12/14 (Mon/Wed): Presentation
- Data source : http://archive.ics.uci.edu/ml/datasets/Census+Income
Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0)) Prediction task is to determine whether a person makes over 50K a year.
The dependent variable is “incomelevel”, representing the level of income. A value of “<=50K” indicates “less than or equal to USD 50000” and “>50K” indicates “greater than USD 50000”.
Below are the independent variables (features or predictors) from the Census Data.