Mid-Atlantic Wage Explorer (MAWE)

Guido Gallopyn
11/20/2015

Introduction

MAWE was built to simplify exploration of the Mid-Atlantic wage data. It allows for investigation of influence of predictor variables in the data set on wage as outcome.

  • Plots : scatter plots of wage data along a selected predictor x variable, and coloring of data points according to a selected color variable, and allows to add locally weighted scatter-plot smoothing lines (LOESS).

  • Summaries: summary data by the x and color variables selected.

  • Tables: shows number of observations by the x and color variables selected.

Mid Atlantic Wage Data Set

Data is derived from the March 2011 Supplement to Current Population Survey data. (http://thedataweb.rm.census.gov/TheDataWeb), and contains 3000 observations with 12 variables

 [1] "year"       "age"        "sex"        "maritl"     "race"      
 [6] "education"  "region"     "jobclass"   "health"     "health_ins"
[11] "logwage"    "wage"

Plots

plot of chunk unnamed-chunk-3

  • Scatter plot showing Wage on Y-axis

  • Selection of X-axis variable (here Age)

  • Selection of Color variable (here Education)

  • LOESS lines per color factor level (here Education)

Summaries

Year 1. Industrial 2. Information
1 2003 98.9 115.0
2 2004 104.7 116.9
3 2005 104.7 115.6
4 2006 102.9 126.4
5 2007 100.9 123.6
6 2008 105.9 124.0
7 2009 106.0 126.3

  • Wage information (here mean) for an X variable (here Year) and color Variable (here Job-Class)

  • summary functions

    • mean, standard deviation
    • minimum, maximum
    • median
    • 25% and 75% quantiles
    • frequencies