Predict Future Sales

Predict total sales for every
product and store in the next
month (2015) using data from
2013-2014.

Project 1: Data Analysis Using R

  • Joined the data and imputed NA values (mean, interpolation, zero imputation)
  • Performed exploratory data analysis using ggplot2 and plotly
  • Used multivariate linear regression to model the data
  • Evaluated the results using the Pearson Correlation Factor
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US 2020 E-Commerce

Find trends in 2020 US
e-commerce data

Project 2: Data Analysis Using R

  • Performed data cleaning by filtering out outliers for each column using the 1.5 IQR test
  • Implemented several feature selection methods to achieve the least amount but most descriptive features
  • Used the cluster analysis to make inferences from the processed data
  • Conclusion: Further information needed to make any definite statements
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