# Canada Open Data : Exploration of Wages

## Plan

• [ ] Decide on which data set is to be analysed
• [ ] Ensure a method to access the same version of the data to enable reproducing the analysis.
• [ ] Visual exploration to understand the features available.
• [ ] Formulate questions for Exploratory Data Analysis (EDA)
• [ ] Evaluate the possible directions in terms of applying ML
• [ ] Plan for a shiny app that allows viewing the answers to the above in an interactive manner.
• [ ] Self-hosted Shiny app will need the Shiny server to be setup on the VPS. This is the desired setup.
• [ ] Alternatively, the apps can be hosted for free on shinyapps.rstudio .
• This is okay and common as a start point, but there are several limitations to the free service, like the speed of loading, and limitation of resources used and so on.
• [ ] Perform EDA
• [ ] Perform ML
• Atleast 2 approaches appear to make sense: Linear Regression (+ extended methods like GLMNet) to predict the trend and K-means clustering.
• [ ] Review
• [ ] Publish results / report.