R

• Spatial proximity based clustering of customers
• Testing tidycovid19, a covid19 data interface in R
• Geocoding spatial data with tidygeocoder in R
• Map-based scatter plots with deckgl in R
• Geocoding with osmdata in R
• Leaflet heatmaps in R
• Forecasting US automotive industry production output with simple moving average
• CAGR-based forecasting, using OICA production data (in R)
• Testing “coronavirus”, a package in R for accessing data from J.H. university
• OICA production output statistics for automotive industry (R analysis)
• EPA data analyzed in R for visualizing US powertrain shares
• Analyzing used car prices with German ebay postings from 2016 (kaggle, R)
• Public fuel consumption data from data.gov, for Montgomery county – visualized in R
• Plotting carsalesbase total annual US vehicle sales data (using R)
• VDA time series data on German automotive industry, analyzed in R
• Time series of hourly earnings in US automotive industry (bls.gov), analyzed in R
• Solving linear problem with fuzzy constraints by sampling beta with FuzzyLP in R
• Linear optimization with fuzzy constraints conducted in R with FuzzyLP
• Simple linear problem with FuzzyLP, using crispLP and basic simplex
• Comparing different German transport sectors by volume, using OECD data in R
• Applying fredr package in R: Analyzing FRED domestic car production data for USA
• K-Means clustering performed on OECD data in R
• OECD GDP data analysis in R
• OECD package (interface) in R: Reading (German) freight transport data from OECD directly in R
• Gradient descent in R, for non-linear optimization (nloptr package)
• Cost minimal production scheduling – solving the assignment problem with lpSolve in R
• Solving linear transport problem with lp.transport in R, using lpSolve
• Simple linear programming with integer variables in R, using lpSolve
• Solving a simple linear programming problem using lpSolve in R
• Locating multiple warehouses at center of mass (using R)
• Proximity-based spatial customer grouping (in R)
• R code for constructing a cost matrix for discrete warehouse location problems
• Warehouse assignment problem: Assigning customers to nearest warehouse (using R)
• Single warehouse problem: Locating warehouse at center of mass (using R)
• Coding a Leaflet Shiny App for drawing heatmaps
• Using deckgl in R for spatial data visualisation
• Map plots in R with ggplot2
• Map-based point and density plots in R, using ggmap