ryujiseung/kaggle-income_data

Kaggle data analysis using Multivariate Analysis

Kaggle-Income_data

Kaggle data analysis using Multivariate Analysis

- Result

• EDA

• Analysis

• Final Analysis

- Plan

• 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

- Object : Predicting Income Level

- Data Set Information

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.

- Dependent Variable

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”.

- Independent Variable

Below are the independent variables (features or predictors) from the Census Data.